Job Description
Head of Data Science Biotech
South San Francisco. Direct Hire.
180-210k
Talentry’s client is developing a novel technology platform for gene regulation, and they are looking for exceptional team members to join them.
The Head of Biological Data Science will lead a team of computational biologists, bioinformaticians, and data engineers.
They will collaborate with multidisciplinary teams of scientists on experimental design and analytical approaches to inform preclinical R&D and therapeutic development.
Responsibilities :
- Lead the Biological Data Science department.
- Supervise biostatistical analysis of clinical data.
- Collaborate with cross-functional teams on experimental design and analytical approaches for high-volume sequencing data.
- Oversee strategic planning for bioinformatic analysis pipelines.
- Provide guidance on computational analyses supporting regulatory filings.
Requirements
Required Qualifications :
- PhD in a relevant field.
- 5+ years of post-PhD experience in the biotech industry.
- Strong analytical / scientific background with team leadership experience.
- Experience analyzing high-throughput sequencing datasets.
- Experience with clinical biostatistics, clinical trial development, and / or regulatory filings.
- Strong programming background in Python and R.
- Excellent communication skills.
- Experience in experimental design and cross-team collaboration.
Preferred Qualifications :
- Expertise in gene regulation, epigenetics, CRISPR biology, and / or gene therapy.
- Theoretical and practical experience in machine learning / deep learning.
- Familiarity with protein engineering.
- Experience with regulatory submissions and interactions with health authorities.
- Familiarity with Github and AWS.
Benefits
The salary range for this position is $180,000-$210,000
Requirements
Required Qualifications : PhD in a relevant field. 5+ years of post-PhD experience in the biotech industry. Strong analytical / scientific background with team leadership experience.
Experience analyzing high-throughput sequencing datasets. Experience with clinical biostatistics, clinical trial development, and / or regulatory filings.
Strong programming background in Python and R. Excellent communication skills. Experience in experimental design and cross-team collaboration.
Preferred Qualifications : Expertise in gene regulation, epigenetics, CRISPR biology, and / or gene therapy. Theoretical and practical experience in machine learning / deep learning.
Familiarity with protein engineering. Experience with regulatory submissions and interactions with health authorities. Familiarity with Github and AWS.