Associate Principal Scientist: Molecular Modeling, Analytical Research - Boston, MA - MSD

Description

Associate Principal Scientist: Molecular Modeling, Analytical Research & Development

Our Scientists are our Inventors. We deliver robust scientific data and interpretation that drives the commercialization of breakthrough therapeutics using innovative thinking, state-of-the-art facilities and modern equipment.

Our ability to excel depends on the integrity, knowledge, imagination, skill, diversity and teamwork of people like you.

To this end, we strive to create an environment of mutual respect, encouragement and teamwork.

As part of our global team, you'll have the opportunity to collaborate with talented and dedicated colleagues while developing your career.

The Analytical Research & Development organization in Rahway, NJ, Boston, MA, or West Point, PA is seeking a motivated Associate Principal Scientist with technical expertise in atomistic modeling of drug substance and drug formulations with an ability to apply predictive sciences to support pipeline of antibodies, small molecules, peptides, biologics, conjugates, and vaccines.

This role will allow the candidate to solve complex scientific challenges through application of data modeling, analysis, and visualization tools.

Initial focus will be related to modeling of antibodies and small molecule drug formulations.

The successful candidate is expected to collaboratively work with synthetic, formulation, computational, and analytical scientists, understand their problem statements, and collaboratively implement and apply predictive science solutions.

The candidate must be able to work proactively and independently and influence decisions and solutions spanning a wide diversity of problem statements across Research Laboratories.

The role will require the candidate to network across a range of departments and effectively collaborate with stakeholders.

The candidate should exemplify positive ways of working which support diversity, inclusion, and a positive culture.

The chosen candidate should have a demonstrated ability to publish and present research, including an established track record of interaction with the broader scientific community.

Establishing data workflows, data visualizations, and predictive tools to enable more effective identification, characterization, and development of novel medicines and vaccines is a key objective for our company.

This position sits within the Digital Sciences team in the Analytical Enabling Capabilities sub-department of Analytical Research & Development.

You will be part of a team working collaboratively across a wide range of areas impacting all aspects of the drug discovery and development pipeline.

A diverse array of projects spanning data curation to data analysis to predictive sciences will be encountered in this role.

The core Digital Sciences team works with a networked group of digital champions across AR&D and has close connectivity to other digital facing teams across Research Laboratories including critical IT collaborators.

Primary Responsibilities

Expert execution of atomistic molecular modeling and molecular dynamics simulations

Helping to coordinate best practices in atomistic modeling across departments

Application of predictive approaches to address scientific problems across analytical characterization techniques

Application of data science workflows to address pipeline challenges across all modalities

Application and generation of data analysis, and visualization workflows

Input on development of dashboards, reports, and data exports

Influence definition of digital strategy

Meet with collaborators to collect requirements

Manage projects and timelines

Presentation of updates to collaborators

Education Requirements

A Ph.D. in Computational Chemistry, Chemistry, Biochemistry, Engineering, Data Science, Mathematics, Physics, Biology, Pharmaceutical Sciences, or a closely-related field with at least 4 years of relevant experience

A M.S. in Computational Chemistry, Chemistry, Biochemistry, Engineering, Data Science, Mathematics, Physics, Biology, Pharmaceutical Sciences, or a closely-related field with at least 6 years of relevant experience

A B.S. in Computational Chemistry, Chemistry, Biochemistry, Engineering, Data Science, Mathematics, Physics, Biology, Pharmaceutical Sciences, or a closely-related field with at least 8 years of relevant experience

Required Experience and Skills

Expertise in atomistic modeling (direct experience with antibodies and at least one other modality: small molecules, peptides, biologics, conjugates, and vaccines)

Expertise in executing molecular dynamics simulations of multi-component systems

Expertise across multiple computational modeling platforms such as: Maestro, MOE, OpenEye, Gaussian, ORCA, etc.

Familiar with programming in R and/or Python and Posit/RStudio/Jupyter

Experience with one or more data visualization tools (Shiny, Spotfire, Dash, PowerBI, Streamlit, or Tableau)

Excellent verbal and written communications skills

Work independently and be able to collaborate as a team

Strive for continuous improvement and suggest innovative solutions to scientists' common challenges

Insatiable curiosity to learn with the end goal of understanding the scientific problem statement and designing programs, software, or solutions to meet the end users' needs

Preferred Experience and Skills

Multi-scale modeling including coarse grained molecular dynamics

Machine learning

Experience with pharmaceutical drug product development involving formulation design

Knowledge of development of chemical matter across one or more modalities

Track record of impact in the pharmaceutical industry with relevant examples directed towards pipeline objectives

Development of dashboards, reports, and data exports

Scientific supervisory experience related to guiding the work of junior scientists.

We are committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities.

We provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.

We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds.

The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment.

We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively.

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