Associate Principal Scientist, Data Science
MSD
- San Francisco, CA
- Permanent
- Full-time
- Develop data science based predictive models for biologics to advance early phase drug discovery programs
- Develop computational routines and custom visualizations that enable project teams to impact protein engineering designs and allow teams to rapidly make program decisions from real-time data
- Collaborate across groups to systematize and automate the process of capturing raw instrument data and preparing it for storage and analysis
- Provide technical expertise and leadership for data science working groups and teams
- Author and contribute to presentations, publications, and patents
- Foster a high-performance culture of collaboration, engagement, self-accountability and inclusion
- Ph.D. (with 4 years of relevant experience) in Computational Biology, Biostatistics, Biochemistry, Computer Science, or a related discipline with demonstrated expertise in biologics and data science, Master’s with (8) years or Bachelor’s with (12) years of relevant experience
- Fluency in at least one modern programming language such as C++, Python, or similar
- Strong expertise in data science based predictive models for life science applications
- Experience working with large multidimensional datasets to extract predictive features
- Demonstrated ability to succeed in a collaborative, multidisciplinary team environment
- Excellent written and oral communication skills
- Champion for diverse and inclusive culture
- Mentor and coach group members to complement and strengthen the team
- Experience with protein engineering or the discovery and development of biologics
- Expertise in the application of relational databases and object-relational databases for semi-structured and unstructured data
- Experience with multiple types of protein structure and sequence representations, featurization, and embeddings
- Experience with protein modeling software (e.g., AlphaFold, Rosetta, TrRosetta, MOE, GROMACs, or similar)
- Familiarity with data visualization tools and libraries
- Ability to teach biologists and biochemists the fundamentals of data science
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: RegularRelocation: Domestic/InternationalVISA Sponsorship: YesTravel Requirements: 10%Flexible Work Arrangements: HybridShift: 1st - DayValid Driving License: NoHazardous Material(s): NoJob Posting End Date: 07/26/2024*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.