Vice President, Translational Data Science, Computational Biology
Vice President, Translational Data Science, Computational Biology
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
• artificial intelligence
• machine learning
• technology
• biology
• neuroscience
• cancer
• techbio
• biotech
• pharma
• platform
• tech
• oncology
• pipeline
• disease
• future
• innovation
• nvidia
• supercomputer
• data
• and rare disease
About the Role
The Company is seeking a Vice President, Translational Data Science/Computational Biology to lead the industrialization of drug discovery through the integration of advanced analytics, machine learning, and data science. The successful candidate will be responsible for setting and driving the strategy to connect data from genome-scale -omics platforms with real-world population and patient-derived genetics. This role is pivotal in identifying and validating target selection, disease and patient linkages, and driving precision medicine through the development of translational biomarkers. The VP will also be at the forefront of integrating patient genetic and biomarker data from clinical trials to support the reverse translation of clinical insights into discovery programs. Collaboration with cross-functional teams and leading a high-performing group of computational biologists and data scientists is essential.
Applicants for the VP, Translational Data Science/Computational Biology position at the company should have a minimum of 7 years' experience in computational biology, with a focus on ML techniques in drug discovery and development. A proven track record in functional and statistical genetics, particularly in the areas of target identification, mechanistic fine-mapping, and biomarker development for precision medicine, is required. The role demands experience in industrializing the process of turning genetic insights into actionable strategies for patient stratification and clinical trial design. The ideal candidate will have a strong background in leading and mentoring teams, as well as a deep understanding of regulatory considerations in the development of precision medicine solutions. A collaborative, growth-oriented mindset and a commitment to the values of care, learning, delivery, and integrity are also essential.
Hiring Manager Title
SVP Clinical Development & Data Science
Travel Percent
50%
Functions
• Medical Care/Hospital Administration
• Information Technology
Apply Now
Apply Now
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
• artificial intelligence
• machine learning
• technology
• biology
• neuroscience
• cancer
• techbio
• biotech
• pharma
• platform
• tech
• oncology
• pipeline
• disease
• future
• innovation
• nvidia
• supercomputer
• data
• and rare disease
About the Role
The Company is seeking a Vice President, Translational Data Science/Computational Biology to lead the industrialization of drug discovery through the integration of advanced analytics, machine learning, and data science. The successful candidate will be responsible for setting and driving the strategy to connect data from genome-scale -omics platforms with real-world population and patient-derived genetics. This role is pivotal in identifying and validating target selection, disease and patient linkages, and driving precision medicine through the development of translational biomarkers. The VP will also be at the forefront of integrating patient genetic and biomarker data from clinical trials to support the reverse translation of clinical insights into discovery programs. Collaboration with cross-functional teams and leading a high-performing group of computational biologists and data scientists is essential.
Applicants for the VP, Translational Data Science/Computational Biology position at the company should have a minimum of 7 years' experience in computational biology, with a focus on ML techniques in drug discovery and development. A proven track record in functional and statistical genetics, particularly in the areas of target identification, mechanistic fine-mapping, and biomarker development for precision medicine, is required. The role demands experience in industrializing the process of turning genetic insights into actionable strategies for patient stratification and clinical trial design. The ideal candidate will have a strong background in leading and mentoring teams, as well as a deep understanding of regulatory considerations in the development of precision medicine solutions. A collaborative, growth-oriented mindset and a commitment to the values of care, learning, delivery, and integrity are also essential.
Hiring Manager Title
SVP Clinical Development & Data Science
Travel Percent
50%
Functions
• Medical Care/Hospital Administration
• Information Technology
Apply Now
Apply Now