Associate Principal Scientist, Computational Chemist

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.

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