Job Opportunities in the Molecular Sciences

Staff Scientist – Senior Scientist

Job Description

Position Description

We are seeking a creative, self-motivated computational chemist with exceptional interpersonal and problem-solving skills to join the Modeling and Informatics (M&I) department in Boston, MA, US. M&I is a diverse and inclusive team of approximately 50 computational chemists, cheminformaticians, data scientists and machine learning specialists who employ state of the art capabilities to drive drug design. We are an integral arm of both discovery and process chemistry and collaborate seamlessly with teams across the globe to innovate and invent better molecules faster.  We are looking for a strategic thinker and accomplished computational drug hunter to take on a position that carries significant influence across our Company chemistry from target identification through delivery of clinical candidates.

Key responsibilities will include:

Scientific Innovation:

• Leading and defining the in-silico strategy on multiple interdisciplinary discovery projects, design and optimize compounds using advanced computational techniques
• Analyzing novel drug targets for tractability using drugability assessment, prioritize targets and help define screening and modality strategies
• Functioning as a subject matter champion for ligand- and structure-based drug design across discovery teams
• Advancing our modeling capabilities through invention, implementation and application of new methodologies

Strategy:

• Leading strategic efforts to enable our future vision for Modeling and Informatics in chemistry
• Enabling a design-driven and predict-first culture throughout our Company’s Chemistry department
• Contributing to our Company’s overarching drug discovery strategy

Building Relationships:

• Mentorship and scientific development of M&I staff both locally and across our network
• Building bridges and fruitful collaborations with stakeholders across medicinal chemistry, pharmacokinetics & pharmacodynamics, quantitative biosciences, and therapeutic area biology

We recognize that the diversity in our team is our strength and are committed to creating an inclusive environment for all employees. Successful candidates must demonstrate inclusive behaviors in working with a diverse group of scientists to drive our core mission.

Education Minimum Requirement:

• Ph.D. or M.S. in chemistry, biochemistry, biophysics, or equivalent with a computational emphasis

Required Experience and Skills:

• 7+ years of professional experience with a Ph.D., or 9+ years with a M.S.
• Evidence of creative application of computational approaches to problems of pharmaceutical interest
• Strong oral and written communication skills, with a recognized ability to positively influence team decisions
• Ability to communicate, collaborate and deliver results in a fast-paced, global environment and to manage multiple priorities simultaneously
• Ability to see the ‘big picture’, and identify opportunities for impact now and in the future
• Proficiency in general molecular modeling techniques (docking, molecular simulation, homology modeling, quantum mechanics, QSAR / machine learning, ligand- and structure-based design) with modern software packages (e.g. Schrodinger, OpenEye, CCG)
• Skilled in scientific programming (e.g. Python, Pipeline Pilot) and data analytics (e.g. Spotfire)

Preferred Experience and Skills:

• Desire to lead strategic efforts relevant to drug discovery
• Passion for mentoring scientific staff

#EligibleforERP

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace.  All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics.  For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

EEOC Know Your Rights

EEOC GINA Supplement​

Pay Transparency Nondiscrimination

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts

U.S. Hybrid Work Model

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday – Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

Search Firm Representatives Please Read Carefully 
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:

Regular

Relocation:

Domestic

VISA Sponsorship:

Yes

Travel Requirements:

10%

Flexible Work Arrangements:

Not Applicable

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

n/a

Required Skills:

Data Science, High Performance Computing (HPC), Machine Learning, Researching, Scientific Modeling

Preferred Skills:

Job Posting End Date:

02/7/2025

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Requisition ID:R331775

For addition position details, including qualifications and application link, visit their website.

Job Description

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace.  All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics.  For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

EEOC Know Your Rights

EEOC GINA Supplement​

Pay Transparency Nondiscrimination

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts

U.S. Hybrid Work Model

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday – Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

Search Firm Representatives Please Read Carefully 
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:

Regular

Relocation:

Domestic

VISA Sponsorship:

No

Travel Requirements:

10%

Flexible Work Arrangements:

Not Applicable

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

N/A

Required Skills:

Chemistry, Computational Chemistry, Computer Aided Drug Design, Drug Design, High Performance Computing (HPC), Machine Learning, Molecular Dynamics (MD), Molecular Modeling, Problem Solving, Scientific Modeling, Structure Activity Relationship, Structure Based Drug Design, Teamwork

Preferred Skills:

Cheminformatics, Data Science, Informatics

Job Posting End Date:

02/17/2025

For addition position details, including qualifications and application link, visit their website.

Job Description

Position Description

Our Company is seeking a creative, self-motivated computational chemist with exceptional interpersonal and problem-solving skills to join the Modeling and Informatics group at our West Point, PA site.

We are expanding our capability in computational medicinal chemistry and drug design to support our future organizational strategy for therapeutic discovery.

Modeling and Informatics is a sub-team of Discovery Chemistry, who employ state of the art capabilities in predictive sciences, AI/ML and structure-based drug design to accelerate our invention of therapeutics for patients.

We are an integral arm of both Discovery and Process Chemistry, and we collaborate seamlessly with teams across the globe to invent better molecules faster.  With an unbiased approach to drug modalities, in-house access to the newest screening techniques, and world-class medicinal chemistry, we have a wealth of opportunities to impact our pipeline and ultimately save and improve patient lives.

The successful candidate will join multidisciplinary, highly collaborative discovery teams both locally and across our Company’s global network to invent novel medicines. They will apply advanced computational techniques and develop innovative computational methods as necessary to solve problems in drug design.

Key responsibilities will include:

Design and optimization of drug candidates using advanced computational techniques as a member of discovery teams through:

• design of molecules utilizing existing our Company tools and techniques
• informative data analysis and visualization
• development of innovative computational workflows for molecular modeling
• protein construct design
• ligand library design
• application of AI/ML, generative modeling etc.
• Influencing teams in chemistry, and adjacent functionalities by effectively communicating non-obvious insights from computational approaches to drive project decisions and inflections
• Contributing to the overall wellbeing of our department by sharing knowledge, workflows, and being invested in the success of your peers.

Our organization is inspired by invention and founded on a culture of respect and collaboration. We recognize that the diversity in our team is our strength and are committed to creating an inclusive environment so that our employees can bring their whole selves to work. Successful candidates must demonstrate inclusive behaviors in working with a diverse group of scientists to drive our core mission. By joining us, you’ll have the opportunity to expand your knowledge and skills through collaboration with talented and dedicated colleagues while contributing to developing medicines for human health.

Position Qualifications:

Education Minimum Requirement:

• PhD (or Master’s degree + 7 years industrial experience) in biophysics, biochemistry, chemistry, engineering, or equivalent, with a computational emphasis.

Required Experience and Skills:

• 3 years of relevant experience in drug discovery industry (pharma or biotech) with a PhD, or 7 years of the same with a Master’s degree.
• Demonstrated impact on molecule design in an industry environment
• A strong desire to learn and to innovate
• Evidence of creative application of computational approaches to problems of pharmaceutical interest
• Proficiency with modeling software packages (e.g. Schrodinger, MOE, Rosetta)
• Proficiency in general molecular modeling techniques (docking, molecular simulation, homology modeling, quantum mechanics, ligand- and structure-based design)
• Ability to communicate, collaborate and deliver results as a member of multi-disciplinary teams
• Ability to manage multiple priorities simultaneously
• Strong oral and written communication skills
• Track record of recent publications and/or presentations and external presence

Preferred Experience and Skills:

• Experience with Linux
• Skilled in scientific programming (e.g. Python, Pipeline Pilot) and data analytics (e.g. Spotfire, Pandas, Jupyter)
• Experience with QSAR, machine learning, deep learning

NB: Because we believe our best opportunity for impact on our pipeline involves in-person collaborations, this is an on-site position, it will not be remote work.

#computationalchemistry

#M&I

#eligibleforERP

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace.  All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics.  For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

EEOC Know Your Rights

EEOC GINA Supplement​

Pay Transparency Nondiscrimination

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts

U.S. Hybrid Work Model

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday – Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

Search Firm Representatives Please Read Carefully 
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:

Regular

Relocation:

Domestic

VISA Sponsorship:

No

Travel Requirements:

10%

Flexible Work Arrangements:

Not Applicable

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

n/a

Required Skills:

Data Science, High Performance Computing (HPC), Machine Learning, Researching, Scientific Modeling

Preferred Skills:

Job Posting End Date:

02/3/2025

For addition position details, including qualifications and application link, visit their website.

Ames National Laboratory, a U.S. Department of Energy (DOE) National Laboratory on the  campus of Iowa State University, delivers critical materials solutions to the nation. For over 75 years, Ames National Laboratory has successfully partnered with Iowa State University of Science and Technology to lead in the discovery, synthesis, analysis, and use of new materials, novel chemistries, and transformational analytical tools

Ames Laboratory is a U.S. Department of Energy federally contracted National Laboratory located in Ames, Iowa, on the campus of Iowa State University. We are dedicated to translating foundational science through applied research to create technological innovations. We create materials, inspire minds to solve problems, and address some of the most challenging issues facing our world today. We promote and believe in a culture of diversity, equity, inclusion, civility, and shared ownership in support of the Laboratory’s collective success.

Ames National Laboratory is seeking candidates for staff positions of Scientist II, III, or IV, to work in the development and application of machine learning/artificial intelligence (ML/AI), and data science, to work with teams of physical science researchers. Ames National Laboratory, a U.S. Department of Energy (DOE) National Laboratory on the campus of Iowa State University, delivers critical materials solutions to the nation. For over 75 years, Ames National Laboratory has successfully partnered with Iowa State University of Science and Technology to lead in the discovery, synthesis, analysis, and application of new materials, novel chemistries, and transformational analytical tools. Key areas of research include: quantum materials and quantum information science; chemical catalysis and separations; plastic upcycling; critical materials, magnetic materials, and rare earth science; and materials for harsh conditions. These reflect the Laboratory’s strong expertise in rare earth and magnetic materials; materials design, synthesis, and characterization; solid state nuclear magnetic resonance; computational chemistry including exascale code development and applications; condensed matter theory; and computational materials science and materials theory.

Successful applicants will lead AI/ML efforts in fundamental computational science, applied math, and the connection between these and fundamental physical sciences. Successful applicants will help create novel combinations of experimental, theoretical, and computational studies that complement existing expertise in chemical and biological sciences, condensed matter physics and materials sciences, and/or critical materials research. Also of interest are applicants that complement existing expertise at Ames Laboratory in exascale computing.

The position will require extensive collaboration with researchers across Ames National Laboratory as well as building external collaborations and externally funded research programs. The successful candidate will develop new research directions/programs, write research proposals for future funding of research projects (as PI or co-PI), and support the Laboratory’s mission through interactions with stakeholders including DOE program managers.

AL Scientist II Required qualifications:  Ph.D. and 1 years of related experience

AL Scientist III Required qualifications:  Ph.D. and 5 years of related experience

AL Scientist IV Required qualifications:  Ph.D. and 8 years of related experience

For addition position details, including qualifications and application link, visit their website.

Machine learning researchers and engineers with impressive records of academic and professional achievements sought to join our interdisciplinary team in New York City.

LOCATION – Hybrid

OFFICE LOCATION – New York, NY, USA

HOW TO APPLY – https://apply.deshawresearch.com/careers/Register?pipelineId=597&source=Molecular+Sciences+Software+Institute

This is a unique opportunity to collaborate with our chemists, biologists, and computer scientists to expand the group’s efforts applying machine learning to drug discovery, biomolecular simulation, and biophysics. Areas of focus include generative models to help identify novel molecules for drug discovery targets, predict PK and ADME properties of small molecules, develop more accurate approaches for molecular simulations, and understand disease mechanisms. Ideal candidates will have strong Python programming skills. Relevant areas of experience might include deep learning techniques, systems software, high performance computation, numerical algorithms, data science, cheminformatics, medicinal chemistry, structural biology, molecular physics, and/or quantum chemistry, but specific knowledge of any of these areas is less critical than intellectual curiosity, versatility, and a track record of achievement and innovation in the field of machine learning.

D. E. Shaw Research (DESRES) develops and uses advanced computational technologies to understand the behavior of biologically and pharmaceutically significant molecules at an atomic level of detail, and to design precisely targeted, highly selective drugs for the treatment of various diseases. Among its core technologies is Anton, a proprietary special-purpose supercomputer that DESRES designed and constructed to vastly accelerate the process of molecular dynamics simulation. DESRES uses Anton machines and high-speed commodity hardware, together with machine learning methods and other computational techniques, in both internal and collaborative drug discovery programs. For more information, visit http://www.deshawresearch.com/.

We are looking to add innovative contributors who share our commitment to fostering a stimulating, positive, and collaborative work environment.

To submit an application, please use the link provided below:
https://apply.deshawresearch.com/careers/Register?pipelineId=597&source=Molecular+Sciences+Software+Institute

D. E. Shaw Research is an equal opportunity employer, dedicated to the goal of building a diverse workforce. We embrace diversity along all dimensions, and respect and value the unique qualities, perspectives, and identities of every person in our group. We welcome inquiries from all exceptionally well-qualified applicants, regardless of race, color, nationality, national or ethnic origin, religion or religious belief, caste, gender identity, pregnancy, caregiver status, age, military service eligibility, veteran status, sexual orientation, marital or civil partner status, disability, or status in any other category protected in this regard by law in any jurisdiction in which we operate.

The expected annual base salary for this position is $300,000–$600,000. Our compensation package also includes variable compensation in the form of sign-on and year-end bonuses, and generous benefits, including relocation and immigration assistance. The applicable annual base salary paid to a successful applicant will be determined based on multiple factors including the nature and extent of prior experience and educational background. We follow a hybrid work schedule, in which employees work from the office on Tuesday through Thursday, and have the option of working from home on Monday and Friday.

EMAIL – careers@DEShawResearch.com

Ames National Laboratory, a U.S. Department of Energy (DOE) National Laboratory on the  campus of Iowa State University, delivers critical materials solutions to the nation. For over 75 years, Ames National Laboratory has successfully partnered with Iowa State University of Science and Technology to lead in the discovery, synthesis, analysis, and use of new materials, novel chemistries, and transformational analytical tools.

Ames National Laboratory seeks to award one or more Spedding Fellowships. These are prestigious postdoctoral awards for up to three years, providing an exceptional opportunity for recent Ph.D. recipients of outstanding talent and ability to pursue their own research directions in support of (and in collaboration with) our scientific objectives. Exceptional candidates focused on either basic or use-inspired research are encouraged to apply. Successful applicants are expected to participate in a collaborative, multidisciplinary team environment that aims for excellence in science. The Spedding Postdoctoral Fellowship honors Dr. Frank Spedding, Ames Laboratory’s first Director.

The Spedding Fellowship provides a continuous path to excellence, while furthering the Ames National Laboratory and U.S. Department of Energy scientific missions. Spedding Fellows work under the guidance and mentorship of Ames Laboratory senior scientists. Candidates are encouraged, but not required, to discuss their intended research proposal with potential Ames mentors with whom they would like to work. While not guaranteed, our intent is to select individuals who will qualify for permanent scientific staff positions at Ames Laboratory upon completion of the fellowship.

Applicants with an established publication record and demonstrated research skills are being sought in a variety of disciplines, including:

• condensed matter physics / materials science,
• chemistry / chemical engineering,
• applied mathematics / computer science research, including machine learning and artificial intelligence.

Key areas of research include: quantum materials and quantum information systems; chemical catalysis and separations; plastic upcycling; critical materials, magnetic materials, and rare earth science; and materials for harsh conditions. These reflect the Laboratory’s strong expertise in rare earths, materials design, synthesis, and characterization; solid state nuclear magnetic resonance; computational chemistry including exascale code development and applications; condensed matter theory; and computational materials science and materials theory. There is also special interest in the development and application of artificial intelligence/machine learning techniques to accelerate scientific discovery and the transition from fundamental science to application, including high throughput experimentation and simulation. Candidates with expertise in applied mathematics, computer science, and effective and efficient utilization of high performance computing resources are similarly encouraged.

Key Selection Criteria: Interviews and selection will be based on alignment with our strategic scientific initiatives, proposed research, record of publications/presentations, demonstrated excellence in communication, and referee recommendations. Proposed start date of April 1, 2025.

Inquiries may be made to cro@ameslab.gov

Apply via THIS LINK

If you have questions regarding this application process, please email employment@iastate.edu or call 515-294-4800 or Toll Free: 1-877-477-7485.

The EQI (Eddleman Quantum Institute) Postdoctoral Fellowship Program is designed to encourage collaborative research in quantum science; the EQI Postdoc will have the opportunity to interact strongly with at least two of the EQI faculty.

Candidates with diverse backgrounds and from underrepresented minorities are particularly encouraged to apply.

Complete details provided HERE.

The ideal candidate for this tenure-track position will lead dynamic research in materials simulations using a range of methodologies, including but not limited to density functional theory, quantum Monte Carlo, molecular dynamics, many-body techniques, machine learning, and quantum computation. This position will be affiliated with either the Department of Physics and Astronomy or the Department of Chemistry, depending on the qualifications and expertise of the selected candidate.

Candidates with diverse backgrounds and from underrepresented minorities are particularly encouraged to apply.

Complete details provided HERE.

Within the research project Hybrid Quantum Chemistry on Hybrid Quantum Computers, funded by the Novo Nordisk Foundation, we have an opening for a three-year postdoctoral researcher to work on the development of quantum chemical methods and algorithms for the prediction of molecular properties and spectra on hybrid classic-quantum architectures.

Responsibilities and qualifications

• Development of Quantum Algorithms for Quantum Chemistry calculations of molecular properties and spectra on hybrid classic-quantum architectures. Dissemination of the results of the research in scientific articles and at conferences is an integral part of the postdoc’s responsibilities
• Participation in the group meetings and activities of the NNF project “Hybrid Quantum Chemistry on Hybrid Quantum Computers”
• A smaller amount of teaching activities in BSc or MSc courses at the Department of Chemistry, Technical University of Denmark

As a formal qualification, you must hold a PhD degree (or equivalent) in one of the following fields:

• Physics
• Chemistry
• Mathematics
• Computer Science
• Quantum Information Science
• Information Science

Additional Required Qualifications
At least one of the following additional qualifications is required:

• Documented experience on the development of quantum computing algorithms for quantum chemistry applications on NISQ and/or (early) fault tolerant quantum computers.
• Experience with quantum computing software libraries like IBM’s Qiskit or Pennylane
• Programming experience with python and/or compiled languages like C++/Fortran
• Documented experience on method developments in quantum chemistry

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and terms of employment 
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.

The postdoctoral position is full-time and the period of employment is three years.

You can read more about career paths at DTU here.

Further information
Enquires about the position may be made to Professor Sonia Coriani, soco@kemi.dtu.dk

You can read more about DTU Chemistry at www.kemi.dtu.dk, and about Coriani’s group at

https://www.kemi.dtu.dk/english/research/physicalchemistry/femtokemi/soniacoriani/. Information on the NNF project can be found at https://hqc2.github.io/

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.

Application procedure 
Your complete online application must be submitted no later than Monday, 7 October 2024 (23:59 CET).

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link “Apply now”, fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• Application (cover letter)
• CV
• Academic Diplomas (MSc/PhD – in English)
• List of publications, highlighting 3 particularly relevant papers

Incomplete applications or applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

TO APPLY CLICK ON THE LINK BELOW

https://efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/4027/?utm_medium=jobshare

DTU Chemistry
DTU Chemistry is an internationally leading institute with research and teaching in the main areas of chemistry: physical (incl. theoretical and computational), biophysical, organic and inorganic chemistry. Academic excellence, innovation and entrepreneurship are core to the Department’s research activities and are drivers of academic and industrial collaborations, spin-outs, and high impact publications. The Department has a long-standing tradition of training PhD students and Postdoc fellows who move on to successful careers within academia and industry.

The department actively contributes to basic chemical research, where the aim is to further develop the methods and concepts of chemistry and to explain and uncover connections. The research has often strong relationships with neighbouring areas such as physics, nanotechnology, biochemistry, and takes place in close collaboration with industry and universities at home and abroad. Many research projects are also closely linked to applications in areas such as e.g. energy, pharmaceuticals, catalysis and materials. The institute has approx. 180 employees.

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

Opportunity available for two talented team members to join the digital antibody research partnership between the molecular modelling group of Prof Jonathan Essex at the University of Southampton and UCB, a global biopharma.  As a Post-Doctoral Scientist in computational antibody design, the successful candidate will develop and implement computational antibody design methodologies such as atomistic simulations and AI-based design to accelerate the delivery of high-quality novel antibody therapeutics.

Both positions are three-year fully-funded postdoctoral positions based at the University of Southampton, collaborating closely with the UCB Antibody Research Facility in Slough, UK.

Visit link for details!

Application deadline is 27 August 2024.

Two postdoctoral researcher positions are available in the area of Machine Learning for Materials Science, based at the Department of Computer and Information Science, Linköping University, Sweden. Additional informational can be found at THIS LINK. The deadline for applying is June 10, 2024.

Contact persons: Fredrik Lindsten, Senior Associate Professor in Machine Learning, fredrik.lindsten@liu.se, and Fredrik Heintz, Professor in AI, fredrik.heintz@liu.se

The Quantum Chemistry group at Uppsala University, Sweden, is seeking a postdoctoral researcher in theoretical chemistry (a temporary position of two years). Note that the position is a stipend position and hence the holder of the position is not formally hired by Uppsala University.

This postdoctoral project aims at the development and implementation of perturbation theory applied to multiconfigurational wavefunctions. The position includes theory development and the implementation of software for the open-source program project OpenMolcas. The position is placed in the Quantum Chemistry group, headed by Prof. Roland Lindh.

Qualifications: To be eligible to apply you must have a Ph.D. in theoretical or computational chemistry, mathematics, numerical methods, or in the fields of Artificial Intelligence and machine learning, or an exam which is judged comparable to a Swedish Ph.D. in the same subject. Extensive knowledge in and practical experience with creating mathematical models, and/or theoretical chemistry, is mandatory. Documented experience of the development of quantum chemical methods and algorithms, and computer programming, are a strong merits for this employment.

The applicant is subject to approval from the funding agency. Start of the position is negotiable.

For more infomation and apply for this postion, please email to Prof. Roland Lindh

Contribute to the development, implementation, and testing of molecular visualization and analysis algorithms for the molecular modeling software Visual Molecular Dynamics (VMD) or its neuroscience-focused sibling program Visual Neuronal Dynamics (VND). This work often involves exciting and pioneering science projects, including close collaboration with talented application scientists to develop new VMD/VND features and capabilities which enable bleeding-edge simulation science.

Champaign-Urbana, Illinois is: 1) a “micro-urban” and international university town with multiple lively music, arts, and cultural scenes 2) very affordable (academic salaries go far!)

You can find the link to the official announcement HERE!

Application deadline: 6:00 pm (CST) on March 6, 2024

Contact information: For further information about this specific position, please contact jobs@beckman.illinois.edu.

For questions regarding the application process, please contact 217-333-2137.

The Department of Chemistry is seeking a 12-month, post-doctoral research fellow to conduct research on the development and testing of new methods and algorithms for solving challenging quantum chemistry problems on future quantum computers. The initial appointment will be for one year and is full time and benefitted, with potential for renewal for a second year, pending annual review of performance and continued availability of funding.

Duties and Responsibilities:

• Develop methods and algorithms focused at solving challenging problems in quantum chemistry using quantum computers.
• Implement and test algorithms for their usefulness in science considering their accuracy, and resource requirements on future quantum devices.
• Work on external software such as IBM’s Qiskit, AWS Braket, etc.
• Develop in-house software (mostly in python using libraries).
• Analyze results with PI and draft manuscripts for publication and proposals for external grants.
• Present research at academic seminars and conferences.
• Mentor junior team members.

To ensure full consideration, applications must be received by February 29, 2024

Full details about the position can be found HERE.

Q-Chem, Inc., is seeking a computational scientist for a staff scientist position at its main office in Pleasanton, CA. The successful candidate should have a Ph.D. in theoretical chemistry or a closely-related field, with significant programming experience (C++, Python, Fortran). Duties will include implementation of novel features, algorithm development, and code maintenance. Previous experience as a developer of a quantum chemistry software package is highly desirable. Candidates must be legally authorized to work for a US company and willing to relocate to California. Salary commensurate with experience.

Full details here: https://q-chem.com/about/careers/

Schrödinger is seeking a Scientific Software Developer / Senior Scientific Software Developer to join them in their mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods!

Schrödinger is on the cutting edge of computer-aided drug discovery and materials science, and our software suites continue to revolutionize the design of therapeutics and materials. FEP+, WaterMap, Glide, Maestro, and LiveDesign are just a few examples of the tools they’ve created.

As a member of their Force Fields team, you’ll apply sound engineering fundamentals and test-driven development to write clear, highly-organized, and maintainable code. Your work will support the development of atomistic physics-based models with unprecedented levels of accuracy to facilitate breakthroughs in computer-aided chemical discovery.

Who will love this job:

• A proficient Python or C++ programmer who understands object-oriented software development
• A student of chemistry, biology, or physics who’s eager to use software to solve scientific problems

What you’ll do:

• Work on core force field libraries in Python and modern C++
• Collaborate with scientists to explore and implement new force field terms
• Upgrade and optimize existing workflows for scalability and reliability

What you should have:

• A Master’s or PhD in Chemistry, Biology, Physics, or a related field
• Intermediate-level knowledge of the Python programming language
• At least two years of professional or open-source software development experience
• An interest in adopting best engineering practices

Desirable qualifications include:

• Familiarity with the application of molecular simulation and QM methods in model validation
• Knowledge of modern C++ features

Pay and perks:
Schrödinger understands it’s people that make a company great. Because of this, we’re prepared to offer a competitive salary, stock options, and a wide range of benefits that include healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program. We have regular catered meals in the office, a company culture that is relaxed but engaged, and over a month of paid vacation time. Our Office Management team also plans a myriad of fun company-wide events. New York is home to our largest office, but we have teams all over the world. Schrödinger is honored to have been included in Crain’s New York Best Places to Work, BuiltIn’s NYC Best Place to Work, and Newsweek’s list of America’s 100 Most Loved Workplaces.

Estimated base salary range: $120,000 – $160,000. Actual compensation package is dependent on a number of factors, including, for example, experience, education, degrees held, market data, and business needs. If you have any questions regarding the compensation for this role, do not hesitate to reach out to a member of our Strategic Growth team.

APPLICATION LINK HERE.

The Simulation and Optimization (S&O) team at SandboxQA has a new opening for a methods developer in their Drug Discovery team. This person’s responsibilities will be at the interface between software and next-generation methods development in quantum, AI, and physics-based methods like molecular dynamics (MD) and free energy perturbation (FEP). The scientist will be joining a seasoned multi-disciplinary group including drug hunters with an excellent track record in drug discovery, computational chemists, physicists, AI experts, and software engineers.

Key responsibilities:

• Develop computational solutions to address unmet drug discovery needs.
• Work both independently and with the S&O AQ development team to solve research questions for next-generation technologies in drug discovery.
• Maintain and improve existing drug discovery methods and software.
• Use best coding practices and planning tools to raise issues and resolve tickets.
• Present findings and progress in MD, FEP, molecular docking, quantum, and AI methods to an interdisciplinary team and external collaborators.
• Apply your expertise in small molecule or biologics modeling to drive methods development decisions.
• Work in close collaboration with AI experts and cross-functional teams to prototype and scale cutting-edge, impactful drug design solutions.
• This is an opportunity to directly contribute to the discovery of novel innovative medicines by developing computational chemistry techniques that will support experienced multidisciplinary drug hunters.

MORE INFORMATION AND APPLICATION LINK