Associate Director , Data Science, Discovery Biologics

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 the 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 or

• 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 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

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

#EligibleforERP

Required Skills:

Preferred Skills:

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

Our company is committed to inclusion ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

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 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

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 anothers thinking and approach problems collectively.

Learn more about your rights including under California Colorado and other US State Acts

U.S. Hybrid Work Model

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 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 remote.

The salary range for this role is

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employees position within the salary range will be based on several factors including but not limited to relevant education qualifications certifications experience skills geographic location government requirements and business or organizational needs.

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 can apply for this role through (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

San Francisco Residents Only:We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only:We will consider for employment all qualified applicants including those with criminal histories in a manner consistent with the requirements of applicable state and local laws including the City of Los Angeles Fair Chance Initiative for Hiring Ordinance

Search Firm Representatives Please Read Carefully
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:

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

*A job posting is effective until 11:59:59PM on the day BEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.