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Principal Data Scientist - Statistical Programming

4dmoleculartherapeutics · 17 days ago
$176k+
Full-time
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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: 

The Principal Data Scientist: Statistical Programmer will report to the VP, Data Science and will focus on applying programming methodology for implementing statistical analyses using SAS for in-house deliverables and performing quality review of outsourced statistical deliverables.  They will participate as active members of a cross-functional team to plan, lead and execute the tasks required to support the clinical development for the assigned programs. 

RESPONSIBILITIES:  

  • Provide statistical programming support to assigned projects, including, as needed, generating programming codes for inhouse data analysis
  • Work closely with biostatisticians to review the SAP and be responsible for developing data/analysis program specifications based on the SAP.
  • Maintain complete and auditable programming documentation for analysis of clinical trials.
  • Contribute to the development, documentation, and maintenance of reusable programming code library
  • Collaborate with IT to set up/maintain the statistical computing infrastructure (e.g., SAS server)
  • May act as a biostatistician on small-scale projects
  • Collaborate with various functions to ensure robust CRF/EDC development and quality data collection for the assigned clinical trials
  • Oversee the biometrics vendors to ensure the prompt and quality statistical deliverables
  • Provide quality review of outsourced statistical deliverables (including inhouse double programming to QC as needed) and coordinate the inhouse review comments
  • Contribute to the development of functional-level standards, SOPs, work instructions, and templates
  • Represent both biostatistics and statistical programming on study/project teams
  • Stay abreast of industry development in biostatistics/statistical programming fields and apply to appropriate systems and processes
  • Other duties as assigned: nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time 

 

QUALIFICATIONS: 

Education: 

  • 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years experience; or equivalent experience

Experience: 

  • Work experience in biotech/pharmaceutical industry or medical research for a minimum of 8 years (or 4 years for a PhD with relevant training)
  • Experience in clinical development
  • Experience in ophthalmology and/or biologic/gene therapy a plus

Skills: 

  • Strong SAS programming skills required with proficiency in SAS/BASE, SAS Macros, SAS/Stat and ODS (proficiency in SAS/SQL, SAS/GRAPH or SAS/ACCESS is a plus)
  • Good understanding of standards specific to clinical trials such as CDISC, SDTM, and ADaM, MedDRA, WHODRUG
  • Experience with all clinical phases (I, II, III, and IV) is strongly desirable
  • Experience with BLA/IND submissions is strongly desirable
  • Good understanding of regulatory requirements for submission-related activities (e.g., CDISC, CDASH, eCTD) and CRT packages (e.g., XPTs Define/xml, reviewer’s guide, analysis metadata report, executable programs) is desirable
  • Able to run the P21 checks is a plus
  • Proficiency in R programming is a plus
  • Knowledge of applicable GCP/FDACHMP//ICH/HIPPA regulations
  • Proficiency in Microsoft Office Apps, such as WORD, EXCEL, and PowerPoint (familiar with the “Chart” features in EXCEL/PowerPoint a plus)
  • Displays excellent organization and time management skills, excellent attention to detail, and ability to multi-task in a fast-paced environment with shifting priorities and/or conflicting deadlines
  • Excellent written and verbal communication skills and strong team player with a demonstrated track record of success in a cross-functional team environment
  • Proven conceptual, analytical, and strategic thinking
  • Good interpersonal and project management skills
  • Proactively identifies risks, issues, and possible solutions

Base salary compensation range:

National Range: $176,000/yr - $198,000/yr

Bay Area Range: $178,000/yr - $211,000/yr

Please note that the base salary compensation range and actual salary offered to the final candidate depends on various factors: the candidate’s geographical location, relevant work experience, skills, and years of experience.

 

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

Last updated on Jun 7, 2024

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