Head Of Biological Data Science

Who Are We?

Our company is based on the science of our founder, Stanley Qi, one of the original CRISPR co-inventors who then furthered the technology so that DNA does not need to be cut to accomplish gene regulation. Instead, we regulate the epigenome to suppress and activate multiple genes simultaneously. We are further evolving the platform and leveraging its strengths to address unmet medical needs.

We are looking for exceptional team members who want an active role in building a rapidly growing biotech.

Epic Bio is seeking a highly motivated Head of Biological Data Science

This position requires ambition, adaptability, and a team-oriented mindset, but also a strong ability to organize parallel projects and work independently to establish pipelines in uncharted research territories.

We are looking for exceptional team members who want an active role in building a rapidly growing biotech.

Roles and responsibilities:

• Lead the Biological Data Science department consisting of a team of computational biologists, bioinformaticians, and data engineers

• Effectively collaborate with multi-disciplinary teams of translational and pre-clinical scientists on experimental design and analytical approaches to inform preclinical R&D and therapeutic development, as well as clinical development plans, clinical trial designs and clinical trial results

• Oversee high-level strategic planning for developing bioinformatic analysis pipelines to assist Epic Bio's pre-clinical therapeutic and platform teams, as well as to enable biomarker readouts for clinical trial development

• Provide expert guidance in the planning, execution, and writeup of computational analyses supporting regulatory filings for novel therapeutic development

• Supervise biostatistical analysis of clinical data in collaboration with the Clinical Operations team and external CROs to support clinical trial development

• Communicate analysis results clearly and effectively cross-team to both experimental scientists as well as non-scientists

Required Qualifications:

• Ph.D. in Bioinformatics, Computational Biology, Genetics/Genomics, Bioengineering, Computer Science, Biostatistics, or a related field

• 5+ years of post-PhD experience in biotech industry, ideally in gene therapy or related next-generation drug development field such as biologics

• Strong analytical/scientific background with experience leading a team of scientists as well as managing external vendors

• Experience analyzing high-throughput sequencing datasets (e.g. CRISPR screens, RNA-seq, ATAC-seq, ChIP-seq, WGBS, scRNA-seq, etc.)

• Experience with clinical biostatistics, clinical trial development and/or regulatory filings in the context of therapeutic drug development

• Strong programming background in Python and R

• Demonstrated ability to communicate research results effectively at a variety of levels (i.e. to leadership, to investors, to scientific experts, …)

• Experienced in experimental design and working collaboratively cross-team with experimental scientists

Preferred Qualifications:

• Expertise in gene regulation, epigenetics, CRISPR biology, and/or gene therapy

• Theoretical knowledge and practical experience in machine learning / deep learning

• Familiarity with protein engineering (involving model-guided approaches to protein design and molecular dynamic simulations)

• Experience with regulatory submissions and interactions with health authorities (particularly the FDA)

• Familiarity with Github and AWS

The salary range for this position is $170,000-$211,000 USD annually. This salary range is an estimate, and the actual salary may vary based on various factors, including, without limitation, individual education, experience, tenure, skills, and abilities, as well as internal equity and alignment with market data, including potential adjustments for geographic location.

Epic Bio is an early-stage biotechnology company developing a novel technology platform that can provide safe and persistent control of targeted gene regulation. Our proprietary platform represents an entirely new class of therapeutics that can be leveraged to treat severe disease across numerous therapeutic areas, including complex diseases impacted by multiple genes.

Epic Bio provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.