Merck · 5 hours ago
Associate Director, Discovery Biologics Data Platforms & Engineering
Merck is a global health care leader committed to innovation in biopharmaceuticals. The Associate Director of Discovery Biologics Data Platforms & Engineering will lead project initiatives to develop data capture and processing ecosystems that enable data-driven decision making in biologics research and engineering.
BiotechnologyHealth CareMedicalPharmaceutical
Responsibilities
Develop strong partnership with our company's IT and Discovery Biologics (DB) to act as key interface in IT/DB relationships
Perform requirement gathering, development, sprint reviews, UAT, release and trainings for new data capture and processing solutions and capabilities
Collaborate across groups to systematize and automate the process of capturing raw instrument data and preparing it for storage and analysis Ensure developed solutions are aligned within Discovery Biologics to facilitate data reusability and confidence
Collaborating with our company IT on SAS applications evaluations, configuration, onboarding and release
Develop custom data processing and visualizations workflows that enable project teams to impact protein engineering designs and allow teams to rapidly make program decisions from real-time data
Develop AI Agents to facilitate access to key information for lab scientists and leadership
Develop data visualizations to enable data driven decision making for scientists and their leadership
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
Qualification
Required
PhD in Computational Biology, Biostatistics, Biochemistry, Computer Science, Biology, Engineering/Bioengineering, Structural Biology, Biophysics, Chemistry or related STEM discipline with demonstrated expertise in biologics and data science and 4+ years of industry experience
MS and 8+ years or
BS +12 years of experience
Fluency in at least one modern programming language such as Python, Java or similar; fluency in using version control systems (Git) and branching strategies
Strong expertise in data science and data engineering workflow and best practices for life science applications
Experience working with relational database (SQL) and non-relational database, and designing data models
Experience in designing, implementing, and maintaining modern data architecture, using the state-of-the-art tools for large scale data applications, such as Airflow, DBT, Kafka, Debezium, Docker, Kubernetes, Datadog
Extensive experience as a developer using any major cloud platforms (AWS, GCP, Azure)
Experience in working with microservices and API development
Experience building visualizations using tools such as Spotfire, JMP, Power BI
Ability to teach biologists and biochemists the fundamentals of data science
Demonstrated ability to succeed in a collaborative, multidisciplinary team environment
Excellent written and oral communication skills
Champion for inclusive culture
Mentor and coach group members to complement and strengthen their team
Preferred
Full stack developer experience
Experience with Scientific Data Life Cycle (SDLC) documentation
Experience with protein engineering or the discovery and development of biologics
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)
Experience in DevOps, DataOps, and ML Engineering
Benefits
Medical, dental, vision healthcare and other insurance benefits (for employee and family)
Retirement benefits, including 401(k)
Paid holidays
Vacation
Compassionate and sick days
Company
Merck
Merck is a biopharmaceutical company that offers medicines and vaccines for various diseases.
Funding
Current Stage
Public CompanyTotal Funding
$5.59MKey Investors
Private Capital Advisors"Gavi, the Vaccine Alliance"
2018-11-25Post Ipo Equity· $0.59M
2016-01-21Series Unknown· $5M
1980-12-19IPO
Leadership Team
Recent News
2026-02-06
2026-02-05
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