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Vice President, Translational Data Science

Houston, TX, United States

Vice President, Translational Data Science

About the Company

Innovative biotechnology (BioTech) firm

Industry

Biotechnology

Type

Privately Held, VC-backed

Founded

2013

Employees

501-1000

Funding

$200+ million

Categories

Biotechnology

B2B

SAAS

Enterprise

Artificial Intelligence (AI)

Machine Learning

Pharmaceutical

Software

Therapeutics

Manufacturing

Pharmaceuticals

Medicine

Chemical Products

Specialties

Pharmaceuticals

Drug Discovery

Rare Diseases

Drug Repurposing

Inflammation

Immuno-oncology

Diseases of Aging

Phenomics

and artificial intelligence

About the Role

The Company is seeking a Vice President of Translational Data Science with a focus on Computational Biology. The successful candidate will be instrumental in industrializing the drug discovery process, particularly in the integration of genetic and genomic data with advanced analytics to drive precision medicine. This role involves setting and executing strategies to connect data from -omics platforms with patient-derived genetics, identifying and validating target selections, and driving the development of translational biomarkers for patient selection. The Vice President will lead a team of computational biologists and data scientists, guiding them in the use of ML and data science to optimize the development of therapeutic programs. Key responsibilities also include contributing to the strategy for patient genetic and biomarker data collection in clinical trials and establishing data and diagnostic partnerships to support the company's industrialized drug discovery platform.Applicants must have a minimum of 7 years' experience in computational biology, with a strong background in ML and its application to drug discovery. The role requires a proven track record in integrating large-scale patient and population datasets with in vitro functional genomics to transform target and biomarker identification. Experience in precision medicine and regulatory considerations for patient stratification is essential. The ideal candidate will have a history of managing and mentoring teams in a matrixed environment and be adept at developing and implementing novel computational tools. A collaborative and growth-oriented professional with a passion for driving impact in the field of industrialized drug discovery is the perfect fit for this leadership position at the company.

Hiring Manager Title

Incoming Chief R&D Officer and Chief Commercial Officer

Travel Percent

Less than 10%

Functions

Data Management/Analytics

Information Technology

Engineering

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