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Scientist, Bioinformatics
3 months ago
Attention recruitment agencies: All agency inquiries are vetted through 4DMT's internal Talent Acquisition team. No unsolicited resumes will be accepted. Agencies must be expressly engaged by the 4DMT Talent Acquisition team on any requisition. Agencies reaching out directly to hiring managers will not be tolerated and doing so may impact your ability to work with 4DMT in the future.
4DMT is a clinical-stage biotherapeutics company harnessing the power of directed evolution for targeted genetic medicines. We seek to unlock the full potential of gene therapy using our platform, Therapeutic Vector Evolution (TVE), which combines the power of directed evolution with our approximately one billion synthetic AAV capsid-derived sequences to invent evolved vectors for use in our products. We believe key features of our targeted and evolved vectors will help us create targeted product candidates with improved therapeutic profiles. These profiles will allow us to treat a broad range of large market diseases, unlike most current genetic medicines that generally focus on rare or small market diseases.
We have built a deep portfolio of AVV-based gene therapy product candidates, with five product candidates in clinical trials: 4D-150 for the treatment of wet age-related macular degeneration (wet AMD) and diabetic macular edema (DME), 4D-710 for the treatment of cystic fibrosis lung disease, 4D-310 for the treatment of Fabry disease cardiomyopathy, 4D-125 for the treatment of X-linked retinitis pigmentosa (XLRP), and 4D-110 for the treatment of choroideremia. In addition, we have two product candidates in preclinical studies: 4D-175 for geographic atrophy (GA) and 4D-725 for alpha-1 antitrypsin deficiency.
To-date, we have demonstrated clinical proof-of-concept for three evolved vectors in three therapeutic areas and routes of administration with five products and patient populations. We believe this validates the power of our directed evolution platform for discovering superior vectors compared to wildtype viral vectors. We have built a robust and efficient product engine with 6 open Investigational New Drug Applications (INDs) in the U.S., 1 IND in Taiwan, and 1 Clinical Trial Approval (CTA) in Australia. We believe we are positioned to create, develop, manufacture and, if approved, effectively commercialize targeted genetic medicines that could transform the lives of patients suffering from debilitating diseases.
In addition to TVE, our technology includes a robust AAV manufacturing platform and onsite manufacturing facility that allows us to rapidly produce and test research grade material and scale up to GMP clinical material. This internal capability and close collaboration between our R&D and Manufacturing teams has greatly accelerated the pace of discovery at 4DMT.
Company Differentiators:
• Fully integrated clinical-phase company with internal manufacturing
• Demonstrated ability to move rapidly from idea to IND
• Five candidate products in the clinic and two declared pre-clinical programs
• Robust technology and IP foundation, including our TVE and manufacturing platforms
• Initial product safety and efficacy data substantiates the value of our platforms
• Opportunities to expand to other indications and modalities within genetic medicine
GENERAL SUMMARY:
As a Scientist on the Vector Innovation team, you will contribute to improvement and execution of our Therapeutic Vector Evolution platform, primarily through AAV variant library design, production, and screening in support of the discovery of novel therapeutic AAV vectors. You will work closely with the entire Vector Innovation & Human Cell and Disease Modelling team onsite to ensure our platform continues to yield best-in-class AAV capsids. Reporting to a Senior Scientist on the Vector Innovation team, you will primarily develop bioinformatics pipelines for NGS analysis and conduct computational biology experiments to solve problems in AAV engineering. Secondary to these responsibilities, you will work at the bench, contributing to data generation and validation of computational biology experiments.
RESPONSIBILITIES:
Bioinformatics & Computational Biology Development: 60% of TIME
Independently develop reusable libraries and implement best coding practices to grow and improve 4DMT's bioinformatics & computational biology capabilities
Create user-friendly interfaces for bioinformatics pipelines and cross-train team members on their use
Manage internal experimental databases and code repositories
Perform project- and experiment-specific downstream data analyses in collaboration with cross-functional team members
Contribute to AAV vector library design and screening by designing and executing computational biology experiments
Provide ad-hoc bioinformatics and data science support and solutions for related projects and experiments, including quantitative microscopy image/video analyses, protein structure prediction/docking and analysis, and oligo pool design
Review literature to stay up-to-date on state-of-the-art AAV engineering and computational biology methods
Additional responsibilities as defined by management
Lab Activities: 20% of TIME
Provide support for internal sequencing services by contributing to library preparation and operation of sequencing instruments
Designing and validating materials used in NGS applications
Collaborate with Vector Innovation team members to ensure experimental design and execution are well-integrated with bioinformatics solutions
Contribute to the improvement and execution of AAV capsid screening and characterization experiments as needed
Additional responsibilities as defined by management
Meetings and Communication: 20% of TIME
Collaborate across R&D to identify areas of research that could be accelerated with computational approaches, and lead sourcing and implementation of those solutions
Effectively communicate complex analysis methods and results to colleagues and leadership
QUALIFICATIONS:
Education:
Candidates with MS or BS in similar fields and relevant industry experience are encouraged to apply
Experience:
PhD: 0-2 years of industry experience preferred
MS: 2+ years of industry experience required
BS: 5+ years of industry experience required
Skills:
REQUIRED:
Strong programming skills in Python and proficiency with commonly used libraries for biological data analysis (e.g., pandas, numpy, biopython, multiprocessing)
Experience developing custom, purpose-built bioinformatics tools and their integration into reproducible and reusable NGS analysis pipelines
Familiarity with usage and management of cloud computing resources (GCP preferred), Linux/Unix operating systems, and command line
Commitment to relevant best practices in software development, including version control, environment management, and documentation
Proficient in basic molecular and cellular biology techniques
ADDITIONAL/PREFERRED:
Knowledge of basic AI/ML principles and methods, and their application to biological problems
Strong data science and statistics/biostatistics background
Experience with containerization and workflow management (Docker, Singularity, Snakemake, Nextflow)
Basic UI development for scientific end users
Skilled in other programming languages
Background in AAV, viral vectors, directed evolution, high-throughput pooled screening, and/or protein/enzyme engineering
Base salary compensation range:
Bay Area Range: $130,000/yr - $155,000/yr
Please note that compensation varies based on experience, location, and other factors
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.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
