Scientist I/II, Biological Data Science

Key Skills

ATAC-seq, AWS, ChIP-Seq, CRISPR technology, Github, Python Programming, R Programming, RNA-seq Data processing

Job Description

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 Scientist I/II for the Biological Data Science (BDS) team to expand efforts in the development of novel epigenome engineering tools for therapeutic applications. The BDS Scientist will work closely with experimental biologists to assist in experimental design and be responsible for downstream bioinformatic/statistical analysis of a variety of high-throughput screens/assays.

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

KEY RESPONSIBILITIES:

• Work closely with experimental biologists and bioengineers on experimental design and analytical approaches to achieve strategic engineering/therapeutic objectives
• Analyze high-throughput data generated by wetlab scientists including CRISPR screens, bulk/scRNA-seq, bulk/scATAC-seq, Perturb-seq, modulator screens, among others
• Independently design and implement bespoke analysis pipelines for in-house screens
• Communicate analysis results clearly and effectively cross-team to both experimental scientists as well as non-scientists

REQUIRED QUALIFICATIONS:

• PhD. in Bioinformatics, Computational Biology, Genetics/Genomics, Bioengineering, Computer Science, or Statistics, with 0-5 years of experience in industry/academia; alternatively
• MS in one of the above fields with 5+ years experience in industry/academia, or
• BS in one of the above fields with 10+ years experience in industry/academia
• Experience analyzing high-throughput sequencing datasets (e.g. CRISPR screens, RNA-seq, ATAC-seq, ChIP-seq, WGBS, scRNA-seq, etc.)
• Strong programming background in Python or R (preferably both)
• Demonstrated ability to communicate research results effectively to non-data scientists
• Experienced in experimental design and working collaboratively cross-team with experimental scientists

PREFERRED QUALIFICATIONS:

• Proficient working knowledge and experience in any of the following:

• Expertise in gene regulation, epigenetics, CRISPR biology, and/or gene therapy
• Background in protein engineering (involving model-guided approaches to protein design and molecular dynamic simulations)
• Theoretical knowledge and practical experience in machine learning / deep learning
• Lentiviral vector design, packaging, transduction, and cell line creation
• Familiarity with AWS or other cloud computing infrastructures
• Familiarity with Github

The salary range for this position is $104,136 USD to $145,000 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.