Bioinformatics Data Scientist I

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

This Bioinformatics Data Scientist I role offers a unique opportunity to support cutting-edge discovery efforts in applied CRISPR research. The opportunity is ideal if you are motivated to help a multidisciplinary team of scientists explore the vast natural diversity of CRISPR systems. We will rely on you to execute and improve our sequence data analysis processes towards extracting valuable and actionable insights. In doing so, you will learn about specific areas where bioinformatics and data science techniques can significantly impact our bioengineering efforts and support technical requests from our intellectual property team. Above all, this role offers you a chance to make a meaningful contribution towards developing next-generation diagnostic and therapeutic solutions for the world’s most urgent healthcare needs. Note: This role has the potential to be 100% Remote.

KEY RESPONSIBILITIES

• Develop custom pipelines for automated processing of the incoming sequence data
• Document, visualize, and ensure consistency of the results with set requirements
• Communicate the findings to technical and non-technical stakeholders
• Think creatively about additional learning opportunities given the available data
• Communicate proactively with the team about the intermediate findings, challenges, and opportunities for further exploration
• Other duties as assigned

REQUIRED QUALIFICATIONS

• Bachelor’s degree in a quantitative discipline such as Bioinformatics, Engineering, Computer Science, Physics, or a related field
• 5+ years of industry experience or Master's degree with 3 years of industry experience or Ph.D. degree
• Proven track record of coding in Python and version control systems (preferably Git) 
• Experience with the Python data science stack (such as numpy, pandas, sklearn, etc.)
• Experience in mining biological sequence data using common bioinformatics tools (such as BioPython, HMMer, MMseqs2, BLAST)
• Experience in SQL scripting for data retrieval

PREFERRED QUALIFICATIONS

• Track record of developing integrated bioinformatics pipelines that generate actionable insights for experimentalists
• Cloud-based computing and parallel programming experience
• Experience in assembly and annotation of microbial genomes or metagenomes
• Passion for applying and optimizing ML solutions to generate actionable hypotheses
• Experience in using open source platforms for machine learning (Tensorflow, PyTorch, or Scikit Learn)
• Experience in effective collaboration in a remote setting
• Exceptional time-management skills and ability to thrive in a dynamic, fast-paced team
• Critical thinking and problem-solving skills with a knack for identifying bottlenecks, finding and pitching more efficient solutions
• Exceptional skills in communication, presentations, data analysis, and interpretation

BENEFITS

• Company-paid health/vision/dental benefits
• Unlimited vacation and generous sick time
• Company-sponsored meals and snacks
• Wellness, caregiver, and ergonomics benefits
• 401(k) with company matching