EyeBio
Associate Director , Data Science, Discovery Biologics
EyeBio, Oklahoma City, Oklahoma, United States
Job Description
Discovery Biologics is seeking an Associate Director with experience in biologics and data science to expand our abilities to design and engineer biotherapeutics. We are building a department that directly integrates computational and wet‑lab researchers with state‑of‑the‑art automation to accelerate the discovery of novel biologics. We are a highly diverse and collaborative group of biologists, engineers, and computer scientists working at the edge of computation, disease biology, and biotherapeutics. We collaborate broadly within our Company and with academic and industry partners to accelerate the pace of biologics discovery and engineering.
We recognize that diversity in our team is our strength and we are committed to creating an inclusive environment for all employees. Successful candidates must demonstrate inclusive behaviors in working with a diverse group of researchers to drive our core mission.
Position Description This is an individual contributor role with project leadership responsibilities. The successful candidate will work side‑by‑side with wet‑lab researchers to design experiments and build datasets that enable machine learning to predict improved biologics. They will contribute to the identification and application of computational tools that enable the discovery and engineering of biologics. They will partner broadly across Discovery Biologics, Data Science, and IT to implement systems and practices that support high‑throughput data capture, integration, and the generation of predictive models. As part of project teams, they will analyze diverse multidimensional data to enable teams to drive programs forward. As part of technology development teams, they will pursue novel research that enhances our ability to collect and learn from large datasets. They will mentor, coach, and train fellow researchers. The successful candidate will join a diverse group of innovative researchers who are driving the next revolution in biologics discovery and engineering.
Key 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
Position Qualifications Minimum Education Requirement
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 of experience
BS +12 years of experience
Required 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 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
Preferred Experience and Skills
Experience with NGS data processing and analysis applied to biologics discovery highly preferred
Full stack developer experience highly preferred
Experience with Scientific Data Life Cycle (SDLC) documentation highly preferred
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)
Familiarity with data visualization tools and libraries
Experience in DevOps, DataOps, and ML Engineering
Required Skills API Development, Biopharmaceuticals, Computer Science, Data Analysis, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Programming Languages, Python, Relational Database, Scientific Data Management, Software Development, Stakeholder Relationship Management, Statistics, Structured Query Language (SQL)
Preferred Skills Computational Biology, Full Stack Development, Machine Learning (ML), Next Generation Sequencing (NGS), NGS Data Analysis, Protein Engineering, Protein Modeling, Software Development Life Cycle (SDLC)
The salary range for this role is $156,500.00 - $246,300.00
The successful candidate will be eligible for annual bonus and long‑term incentive, if applicable.
We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.
You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.
As an Equal Employment Opportunity Employer, 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. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights EEOC GINA Supplement Learn more about your rights, including under California, Colorado and other US State Acts
Effective September 5, 2023, employees in office‑based positions in the U.S. will be working a Hybrid work model consisting of three total days on‑site per week, Monday through Thursday, with Friday designated as a remote‑working day, unless business critical tasks require an on‑site presence.
Employee Status: Regular
Relocation: Domestic
VISA Sponsorship: Yes
Travel Requirements: 10%
Flexible Work Arrangements: Hybrid
Job Posting End Date: 01/6/2026
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Discovery Biologics is seeking an Associate Director with experience in biologics and data science to expand our abilities to design and engineer biotherapeutics. We are building a department that directly integrates computational and wet‑lab researchers with state‑of‑the‑art automation to accelerate the discovery of novel biologics. We are a highly diverse and collaborative group of biologists, engineers, and computer scientists working at the edge of computation, disease biology, and biotherapeutics. We collaborate broadly within our Company and with academic and industry partners to accelerate the pace of biologics discovery and engineering.
We recognize that diversity in our team is our strength and we are committed to creating an inclusive environment for all employees. Successful candidates must demonstrate inclusive behaviors in working with a diverse group of researchers to drive our core mission.
Position Description This is an individual contributor role with project leadership responsibilities. The successful candidate will work side‑by‑side with wet‑lab researchers to design experiments and build datasets that enable machine learning to predict improved biologics. They will contribute to the identification and application of computational tools that enable the discovery and engineering of biologics. They will partner broadly across Discovery Biologics, Data Science, and IT to implement systems and practices that support high‑throughput data capture, integration, and the generation of predictive models. As part of project teams, they will analyze diverse multidimensional data to enable teams to drive programs forward. As part of technology development teams, they will pursue novel research that enhances our ability to collect and learn from large datasets. They will mentor, coach, and train fellow researchers. The successful candidate will join a diverse group of innovative researchers who are driving the next revolution in biologics discovery and engineering.
Key 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
Position Qualifications Minimum Education Requirement
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 of experience
BS +12 years of experience
Required 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 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
Preferred Experience and Skills
Experience with NGS data processing and analysis applied to biologics discovery highly preferred
Full stack developer experience highly preferred
Experience with Scientific Data Life Cycle (SDLC) documentation highly preferred
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)
Familiarity with data visualization tools and libraries
Experience in DevOps, DataOps, and ML Engineering
Required Skills API Development, Biopharmaceuticals, Computer Science, Data Analysis, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Programming Languages, Python, Relational Database, Scientific Data Management, Software Development, Stakeholder Relationship Management, Statistics, Structured Query Language (SQL)
Preferred Skills Computational Biology, Full Stack Development, Machine Learning (ML), Next Generation Sequencing (NGS), NGS Data Analysis, Protein Engineering, Protein Modeling, Software Development Life Cycle (SDLC)
The salary range for this role is $156,500.00 - $246,300.00
The successful candidate will be eligible for annual bonus and long‑term incentive, if applicable.
We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.
You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.
As an Equal Employment Opportunity Employer, 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. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights EEOC GINA Supplement Learn more about your rights, including under California, Colorado and other US State Acts
Effective September 5, 2023, employees in office‑based positions in the U.S. will be working a Hybrid work model consisting of three total days on‑site per week, Monday through Thursday, with Friday designated as a remote‑working day, unless business critical tasks require an on‑site presence.
Employee Status: Regular
Relocation: Domestic
VISA Sponsorship: Yes
Travel Requirements: 10%
Flexible Work Arrangements: Hybrid
Job Posting End Date: 01/6/2026
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