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Associate Director / Director - Bioinformatics & Machine Learning
Full Time
Cambridge, Massachusetts, United States (This job is on-site)
Sponsors work visa for candidates.
Job description
Scismic is supporting the growth of a biotech company in Cambridge, MA! This company is exploring RNA modulating platforms in neurological disorders, heart disease, and muscular dystrophies.
We are seeking a highly skilled bioinformatician with experience in mRNA biology, single-cell RNA sequencing (RNAseq), and machine learning to join the team in a leadership role. The successful candidate will be responsible for leading data analysis projects related to large scale RNAseq based screens, CRISPR/Cas based screens and mRNA biology related discovery. Additionally, the candidate must be experienced in designing large-scale screens using different sequencing methods and CRISPR/Cas technology. The ideal candidate will have extensive experience in computational biology, with a track record of success in handling large-scale datasets and the application of machine learning to biological problems.
If you are a highly skilled bioinformatician with experience in large scale screens, or mRNA biology, or single-cell RNA sequencing (RNAseq), and machine learning, and have a track record of success in leading data analysis projects and teams, as well as expertise in designing large-scale screens using different sequencing methods and CRISPR/Cas technology, we encourage you to apply for this exciting leadership opportunity.
Key Responsibilities:
- Lead and manage a team of bioinformaticians to analyze and interpret complex datasets related to large scale screens, CRISPR/Cas based screens, and mRNA biology
- Design and implement large-scale screens using different sequencing methods and CRISPR/Cas technology
- Develop and implement computational pipelines for the analysis of high-throughput sequencing data, including single-cell RNAseq dataset
- Work with laboratory scientists to integrate bioinformatics analysis into experimental design and data interpretation
- Stay up-to-date with emerging technologies and methodologies in bioinformatics and computational biology, and guide the team to develop best practices
- Collaborate with other teams across the organization to support data-driven decision-making
- Communicate findings and results to a wide range of stakeholders in written and oral presentations, including senior management
Preferred Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, or a related field, with at least 2 years industry experience
- Proven expertise in mRNA biology, or single-cell RNA sequencing (RNAseq), with a track record of success in handling and analyzing large-scale datasets
- Strong programming skills in languages such as R, Python, and Perl, and experience with database management
- Experience with machine learning approaches and their application to biological problems, and familiarity with statistical modeling and data visualization
- Preferred: Expertise in designing and implementing large-scale screens using different sequencing methods and CRISPR/Cas technology
- Excellent communication and interpersonal skills, with experience leading teams and managing stakeholders
- Ability to work collaboratively in a fast-paced team environment, and to provide strategic direction to the team
Title will be commensurate with experience.