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Head of Data Science – Biotech

Talentry
South San Francisco, CA, us
$180K-$210K a year
Permanent
Quick Apply

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.

8 days ago
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