Director, Computational Biology 1266850

Company: Stratacuity: Proven Scientific Placement
Location: Cambridge
Posted on: June 25, 2022

Job Description:

.Job Scope & Purpose:Our newest, emerging partner in the field of mRNA is seeking a Director, Computational Biology to lead and drive their proprietary mRNA platform. This team is developing the next generation of mRNA therapies that has increased selectivity and critical applications in oncology and immune-oncology. The ideal candidate will have extensive experience within computational biology, bioinformatics and molecular biology. Additionally, the candidate will have a proven track records of successfully driving computational projects while leading FTEs and cross functional teams. Primary Job Responsibilities:

• Lead a team of highly skilled computational biologists and data scientists
• Apply advanced statistical methods to cross-validate and evaluate significance of hypotheses
• Work collaboratively with internal and external cross-functional teams, collaborators, and SAB members to align, plan and execute on the overall research and development plans
• Work independently and think out of the box to extract meaningful insights from public datasets
• Present scientific findings internally and externally at key scientific conferences
• Support IP filings and manuscript preparations Primary Job Requirements:
  • Ph.D. in Computational Biology/Bioinformatics with 7+ years of Biopharma experience
  • Experience in managing a computational biology team
  • Preferred experience with NGS data, genomics, transcriptomics, proteomics analyses, bash/shell scripting, public datasets, such as TCGA and GTEX, RNA folding
  • Fluency in commonly used programming languages in common computational biology tools, such as Python, R, Perl or C/C++
  • Good understanding of capabilities and limits of the modern machine learning techniques such as Deep Neural Networks, CNNs, GANs, LSTMs, and expert knowledge in at least one deep learning framework such TensorFlow or PyTorch
  • Familiarity with the heuristic search and multi-objective optimization algorithms such as gradient descent, A-star, genetic algorithms, Bayesian optimization, etc.
  • Preferred skills: Theoretical understanding ribosome profiling and network biology, hands on expertise on single-cell transcriptomics, proteomics analyses, massively parallel reporter assays, workflow management, AWS, Azure, or Google Cloud, RNA folding, pathway analysis, and/or machine learning and data visualization experience on biological datasets About Stratacuity:Whether you are seeking a career change or simply interested in becoming part of our network, you will appreciate the ethics guiding each Stratacuity team member. We build lasting relationships with exceptional biopharmaceutical talent and take great care to protect your personal information. Upon receiving your inquiry, you may be directly contacted by a Stratacuity team member to discuss your career goals. We will not share your information with anyone without your direct prior consent.PROVEN SCIENTIFIC PLACEMENT---Stratacuity is an Equal Employment Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stratacuity will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact us

Keywords: Stratacuity: Proven Scientific Placement, Cambridge , Director, Computational Biology 1266850, Executive , Cambridge, Massachusetts