MSAT Data Science Engineer

About Allogene:

Allogene Therapeutics with headquarters in South San Francisco is a clinical-stage biotechnology company pioneering the development of allogeneic chimeric antigen receptor T cell (AlloCAR T) products for cancer and autoimmune disease. Led by a management team with significant experience in cell therapy Allogene is developing a pipeline of off-the-shelf CAR T cell product candidates with the goal of delivering readily available cell therapy on-demand more reliably and at greater scale to more patients.

About the Role:

Allogenes Manufacturing organization is building a world class team that is focused on delivering potentially lifesaving therapies to patients. We are seeking a highly motivated individual to join us as a Data Science Engineer Manufacturing Sciences and Technology. This role will have hands-on responsibility over all manufacturing process data including ensuring robust data infrastructure data collection and analysis and establishing best data management practices. This role will directly support technical and strategic initiatives to advance process understanding control and qualification activities from late-stage development through launch/commercialization. The position is based at Allogenes manufacturing facility in Newark CA.

Responsibilities include but are not limited to:

Ownership of data lake infrastructure including data ingestion cleaning organization visualization and integration with data analysis tools.

Translate process understanding into data and develop data analysis methodology to inform process and quality decisions.

Generate data packages to support PPQ-readiness PPQ execution and BLA submission for allogeneic CAR-T therapies and critical starting materials

Able to apply and develop advanced technologies scientific principles theories and concepts to meet the needs of the Process Development and Manufacturing teams including support of technology transfers

In-depth knowledge of GMP and regulatory expectations and experience with regulatory inspections

Work with Quality Facilities & Engineering Process Development and IT to ensure cross-functional alignment

Closely partner with the Process Development and Quality groups to ensure continuity of data robust process design and monitoring of product quality

Contribute to company-wide AI initiatives as a thought leader for introduction and implementation of new AI tools for continuous improvement and innovation.

Engage with broader manufacturing team to enable accomplishment of department goals

Other duties as assigned

Position Requirements & Experience:

Bachelors degree in science or engineering (with a focus on computer science or data science preferred) with a minimum of 6 years of experience within a GMP pharmaceutical manufacturing space and 2 years of direct data science experience within a GMP pharmaceutical manufacturing space.

Late-stage clinical and commercial experience preferred.

Proficiency in programming languages including SQL Python and R and data analytics tools including JMP Spotfire Tableau R-Studio

Knowledge of pharmaceutical manufacturing processes and GMP requirements for data integrity. Cell therapy experience preferred.

Experience developing and implementing data solutions with machine learning and AI preferred.

Excellent written and verbal communication skills

Excellent organizational skills and an ability to prioritize effectively to deliver results within established timelines

Ability to work independently and as part of a team

Ability to travel up to 10%

Candidates must be authorized to work in the U.S.

We offer a chance to work with talented people in a collaborative environment and provide a top-notch compensation and benefits package which includes an annual performance bonus equity health insurance generous time off (including 2 annual holiday company-wide shutdowns) and much more. The expected salary range for this role is $120000 to $14000 per year. Actual pay will be determined based on experience qualifications geographic location business needs and other job-related factors permitted by law.

As an equal opportunity employer Allogene is committed to a diverse workforce. Employment decisions regarding recruitment and selection will be made without discrimination based on race color religion national origin gender age sexual orientation physical or mental disability genetic information or characteristic gender identity and expression veteran status or other non-job-related characteristics or other prohibited grounds specified in applicable federal state and local laws. We also embrace differences in experience and background and welcome diversity of opinions and thought designed to create a stronger and better Allogene that is focused on developing life-changing products for patients.

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