Computational Biologist
- Employer
- Dark Horse Talent
- Location
- Cambridge, Massachusetts, US
- Salary
- Competitive
- Closing date
- Sep 30, 2022
View more
- Sector
- Consultancy/Private Sector
- Field
- Informatics / GIS
- Discipline
- Other
- Salary Type
- Salary
- Employment Type
- Full time
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Opportunity to:
We are looking for:
Core Competencies :
Fast-acting/efficient . Moves quickly and proactively with a strong work ethic to produce high-quality results while fostering a positive work environment. Focuses on key priorities. Demonstrates tenacity and willingness to go the distance to get something done. Integrity. Does not cut corners ethically. Earns trust and maintains confidences. Does what is right not just what is politically expedient. Speaks plainly and truthfully. Follows-through on commitments. Expects a high level of personal performance and team performance. Critical thinking. Learns quickly. Demonstrates ability to proficiently understand new information and independently achieve meaningful outcomes. Able to structure and process qualitative/quantitative data and draw insightful conclusions. Creativity & Innovation . Generates new and creative approaches to problem solving. Positive ‘can-do' attitude. Views the toughest challenges as the greatest opportunities for personal growth and company innovation. Teamwork . Fully engaged in facilitating personal and team success. Reaches out to peers and cooperates with the team to establish an overall collaborative work environment. Often solicits and responds well to constructive feedback. Possesses good written and oral communication skills with the ability to clearly and concisely convey ideas and opinions. Flexibility/adaptability. Adjusts quickly to changing strategic and tactical priorities. Comfortable with ambiguity.
- Report directly to the Head of Computational Biology
- Work in a fast-paced, dynamic startup environment with excellent resources
- Collaborate as a key and valuable part of an interdisciplinary team.
- Integrate internal and external datasets to generate unique inferences for hypothesis generation and subsequent wet lab testing iteratively with a focus on target/disease selection, mechanism-of-action determination, and biomarker discovery.
- Continually cultivate scientific/technical expertise through a critical review of the scientific literature, attending external conferences, and developing relationships with key opinion leaders.
- Expedite career growth
We are looking for:
- Expertise in the field of RNA Biology
- Expertise in specialized RNA-centric NGS methods including Ribo-seq, RIP-seq, eCLIP and RNA chemical probing (e.g. SHAPE-MaP).
- A computational biologist who has experience leveraging bioinformatics to generate high quality hypotheses for wet lab testing through integration of genomic, next generation sequencing (NGS) and other relevant data sets..
- Expertise in NGS data analysis (i.e. Illumina, Nanopore) including execution of standard workflows and development of novel methods.
- Clear understanding of cloud-based computing environments with a focus on AWS environment.
- Strong data visualization and communication skills with the ability to clearly explain the implications of complex data sets and drive decision-making.
Core Competencies :
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