Scientist 1/2, Machine Learning Bioinformatics

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Company :
4D Molecular Therapeutics

Location :
Emeryville, California

Expiry Date :
Wed, 03 Feb 2021 23:59:59 GMT

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Employer 4D Molecular Therapeutics Location Emeryville, CA, United States Posted Jan 02, 2021 Ref Discipline Science/R & D, Bioinformatics, Biotechnology Hotbed Biotech Bay Required Education Associate Degree Position Type Full time You need to sign in or create an account to save 4D Molecular Therapeutics (4DMT) is a gene therapy company with a transformative discovery platformTherapeutic Vector Evolutionthat enables our disease first approach to product discovery and development, thereby allowing us to customize our AAV vectors to target specific tissue types associated with the underlying disease. 4DMT is focused on attracting and retaining the best people in the industry who identify with our mission and innovative results-driven approach. We offer an inspiring and collaborative environment that encourages individual contributions, recognizes performance in multiple ways, offers uniquely generous benefits, and provides challenging opportunities for career development. Join us in creating the ultimate gene therapy products to cure genetic diseases in children and adults. 4D Molecular Therapeutics, located in Emeryville, CA. GENERAL SUMMARY: 4D is in need of a talented and motivated Scientist 1/2 to join our team in supporting our viral drug therapy research efforts as we contribute to the future of gene therapeutics. The position will involve use of machine learning and bioinformatics to inform and improve discovery and experimental design in conjunction with 4DMT’s proprietary discovery platform. The position will involve close interaction on multiple projects within the Bioinformatics group and across the Discovery & Engineering department, including capsid discovery, payload engineering, and viral manufacturing. This position will also collaborate on cross-functional projects with additional groups within R & D and across the company, including HCDM, CMC, and Translational Medicine. A successful candidate will collaborate with Research Associates, Scientists, and Scientific Leadership to develop, implement, train, and maintain computational models and algorithms to complement wet lab scientific activities for a variety of projects to support gene therapy product development. As part of this cross-functional work, employee will be expected to attend and actively engage in working group and project team meetings. RESPONSIBILITIES: – Demonstrating innovative design, development, and execution of research projects through expertise and scientific teamwork – Developing and maintaining computational models, including machine learning algorithms to support the discovery and optimization of key components of 4DMT’s gene therapy products – Using publicly available data sources to inform and improve the construction of novel gene therapy product components – Contributing to the design, implementation, and interpretation of the results of experimental studies – Contributing to building a culture that embraces continuous learning, improvement, and innovation and encourages team members to expand their technical skill base and deepen their gene therapy expertise. – Leveraging a strong understanding of gene therapy principles to design, assess and interpret experimental data, then using the results to inform the selection of the optimal product strategy – Maintaining current awareness of scientific literature – Actively applying new concepts and technologies – Leading and supporting research initiatives such as new technology development and platform improvement projects – Writing study reports and manuscripts and presenting results at scientific meetings – Maintaining compliance with company Environmental Health and Safety policies, procedures, and practices QUALIFICATIONS: Education: – M.S. or Ph.D. degree in one of the following disciplines: computer science, computational biology, bioengineering, biophysics, bioinformatic, data science, or related field Experience: – 2+ years of post-doctoral industry experience as a software engineer, data scientist, and/or machine learning engineer preferred – Designing and implementing distributed data pipelines – Analyzing biological data, in particular next-generation sequencing data – Developing computational models of protein structures, assemblies, and/or activities – Identifying and mining publicly available databases for information useful for the construction novel biological elements – Solid familiarity with molecular biology, protein engineering, gene therapy, and/or virology Skills: (non-technical and technical skills) – Expertise in Python – Proficiency with data warehousing concepts, data architectures, infrastructure components, and environments (e.g. PyTorch, SciKit-Learn, Tensor flow, etc) – Proficiency with cloud-based computing and related technologies (e.g. AWS) – Successful demonstrated ability to work independently in designing and developing machine learning pipelines and proficiency handling large datasets in a distributed manner – Proficiency in protein structure viewing and design applications – Successful demonstrated ability to conduct research with strong attention to detail and rigorous analysis and interpretation of data – Ability to multi-task and support more than one project simultaneously – Highly organized and motivated; strong analytical, organizational, and problem-solving skills – Strong work ethic, flexibility, and cooperative can-do attitude – Ability to work cooperatively in a team-based environment; supportive of multiple viewpoints and approaches – Strong communication skills (both written and oral) with demonstrated ability to present ideas, information and data effectively via one-on-one discussions, team meetings, and external partnership interactions – Understanding and knowledge of key scientific software programs (including Microsoft Office, JMP or Prism, Adobe Photoshop, and bioinformatics and protein structure applications such as Swiss-Pdb Viewer). 4DMT provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, status as a covered veteran and any other category protected under applicable federal, state, provincial and local laws. 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