Company Overview
The mission of CRISPR Therapeutics is to develop transformative gene-based medicines for patients with serious diseases. Our therapeutic approach is to cure diseases at the molecular level using the breakthrough gene editing technology called CRISPR-Cas9.
With our multi-disciplinary team of world-renowned academics, drug developers and clinicians, we are uniquely positioned to translate CRISPR-Cas9 technology into human therapeutics. We have licensed the foundational CRISPR-Cas9 patent estate for human therapeutic use from our scientific founder, Dr. Emmanuelle Charpentier.
We are headquartered in Basel, Switzerland, our R&D operations are in Cambridge, Massachusetts and we have corporate offices in London, United Kingdom.
Investors
CRISPR Therapeutics has raised a total of $89 million in Series A and B rounds since April 2014. Our investors include SR One, Celgene Corporation, New Enterprise Associates, Abingworth and founding investor, Versant Ventures.
PartnershipsCRISPR Therapeutics is establishing strategic partnerships with pharmaceutical companies that are interested in using the breakthrough CRISPR-Cas9 technology to develop treatments for serious diseases.
For more information, please visit www.crisprtx.com
Position SummaryWe are seeking a talented Computational Biologist to tackle challenging bioinformatics and computational biology problems and work collaboratively with the research groups to build the tools and algorithms required to support the development of new, transformative CRISPR/Cas9-based gene editing therapies.
Responsibilities
Develops and implements computational biology initiatives and programs utilizing both internal and external resources, consultants, programmers and vendors, to support all gene editing and research activitiesIntegrates bioinformatics and next generation sequence data with both public and private 3rd party databases as required for research programs and projectsDesigns and codes end user web tools for data analysis and integrationEngages, where appropriate, with relevant Pre-Competitive, Public-Private Partnership, Industry Consortia and other major collaborationsMinimum Qualifications
Advanced degree (Master’s or Ph.D.) in quantitative or basic science (computational biology / bioinformatics, chemistry, physics, mathematics, or applied science preferred); equivalent (3+ years) experience will be consideredExperience in creating, managing, or analyzing genome scale data as for example: microarray or next generation sequencing (NGS) including whole genome, exome, RNA-seq, ChIP-seq, methylation sequencing (RRBS)A solid grasp of R and/or Python is essential for success; other languages such as Java, C++, MATLAB may also be helpfulPreferred Qualifications
The candidate will be a computational biologist that thinks like a biologist; very close interaction with molecular / cell biologists will be expected at every level from experimental design, data curation / quality control, analysis, and algorithm design to ultimately delivering conclusions and recommendations to other researchers and decision makersThe ideal candidate will have a wide understanding of both biology, computational biology, experience working in fast paced team environments (industry and start-up experience is a plus), and will understand and be able to make decisions and recommendations about high level strategy just as well as about the details of an experimentExtensive experience in bioinformatics/computational biology with outstanding skills and abilities in bioinformatics, data curation, large scale data and NGS analysis, statistics and statistical model building, as evidenced by productive and successful programs and/or publicationsMust have good writing skills including documentation skills to maintain software and support documentation; experience with Git, R Markdown / LaTeX will be helpfulStrong leadership and management skills, excellent verbal and written communicationAbility to work independently and successfully in a matrix environment, prioritize and manage multiple tasks simultaneously, integrate cross-functional issues and balance competing priorities effectivelyFamiliar with cell and molecular biology techniques, NGS, gene editing and/or CRISPR/Cas9 biology.A high degree of energy, accuracy and attention to detail, and a passion for creating transformative gene-based medicines to patients with serious diseasesCompetencies
Approachability – Is easy to talk to, builds rapport well, and makes extra effort to put others at ease.Listening – Practices active, patient listening. Has the ability to restate and consider a differing view, even when not in agreement.Problem Solving – The ability to understand a situation, task or problem by breaking it down into smaller pieces using a systematic approach and to identify patterns and connections between situations that are not obviously related.Creativity/Innovation - creating a boundary-less environment that fosters curiosity and taking risks, openness to new approaches, diversity of new thought, blank page creativity and opportunistic thinking.Perseverance – Pursues tasks with energy, drive and initiative, even in the face of adversity.Results Oriented – Drives issues to closure and gets the job done.Communication and Teamwork – The ability to effectively express ideas in written and oral context. The ability to work co-operatively with others; the genuine desire to be a part of a team and contribute to organizational and team goals.If interested and qualified, please include Requisition # 2016-100 in the subject line when emailing resume.
Crispr Therapeutics, Inc. is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation or any characteristic protected under applicable law.
Required experience:
Quantitative or basic science: 3 yearsRequeriments :
Skills :
- Bioinformatics
- Biology
- Computational Biology
- Microarray
- Next Generation Sequencing
- Programing in C++
- Programming in Java
- Programming in Matlab
- RNA-seq
- Statistics
Areas :
Additional Info:
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