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Merck · 3 days ago

Associate Director , Data Science, Discovery Biologics

Boston, MA

Full-time

Hybrid

Senior Level, Lead/Staff

$156K/yr - $246K/yr

4+ years exp

Merck is a leading company in the biopharmaceutical industry, seeking an Associate Director to enhance their capabilities in biologics and data science. The role involves leading projects, collaborating with researchers, and developing predictive models to advance drug discovery programs.

BiotechnologyHealth CareMedicalPharmaceutical

Comp. & Benefits

H1B Sponsored

Responsibilities

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

Qualification

Data ScienceBiologicsProgramming LanguagesData EngineeringRelational DatabaseData ModelingAPI DevelopmentCloud PlatformsDiversity ChampionCommunicationMentoringCollaboration

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

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 diverse and inclusive culture

Mentor and coach group members to complement and strengthen their team