Jobs / United States / Eikon Therapeutics INC
Senior Manager, Biostatistics
Eikon Therapeutics INC · 🇺🇸 Jersey City, NJ
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 13 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 1 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Eikon Therapeutics INC paid sponsored hires in similar roles3 certified filings for “Manager, Clin Trial Master File Admin” (Data Scientists) in NJ: $109k–$170k, median $140k. Most were filed at wage level II (33%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Sponsor Radar — Eikon Therapeutics INC
The US Department of Labor certified 13 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 1 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Eikon Therapeutics INC →
About the role
Eikon Therapeutics is a new biopharmaceutical company employing revolutionary technology at the intersection of chemistry, engineering, computation, and biology to discover novel treatments for life-threatening diseases. Eikon’s discovery platform is built on groundbreaking innovations from its founders (Nobel Prize, 2014), culminating in the creation of microscopes which enable real time, molecular-resolution measurements of protein movement in living cells, thereby unlocking otherwise intractable classes of proteins as drug targets. Position We are seeking a skilled and highly motivated Senior Manager, Biostatistics to join our talented team. The successful candidate will contribute their statistical expertise and strategic thinking to the design, execution, and analysis of clinical trials and experimental studies. In collaboration with cross-functional teams, you will lead statistical efforts that facilitate evidence-based conclusions and guide our research and development initiatives. About You The ideal candidate for this role should possess a proven track record of designing and analyzing clinical trials and experimental studies, particularly within the biotechnology, pharmaceutical, or related industries. This candidate excels in leading interdisciplinary teams to design studies, developing statistical analysis plans, performing advanced statistical analyses, and providing guidance to team members. Their proficiency in statistical programming languages, understanding of regulatory guidelines, and excellent communication skills are essential for conveying complex statistical concepts to non-technical stakeholders. The ideal candidate also demonstrates leadership capabilities and a deep knowledge of emerging trends and best practices in biostatistics, statistical tools, and software. This role will require a minimum of 3 day a week of onsite presence (or more as business needs require) in our New Jersey office to ensure effective management, operational excellence and high-performance delivery of clinical studies and to support the expected significant team growth & collaboration. What You’ll Do • Collaborate with interdisciplinary teams to design clinical trials, experiments, and studies, ensuring appropriate statistical methodologies are employed. • Lead the development of statistical analysis plans, including endpoints, sample size determination, randomization strategies, and statistical methodologies. • Perform advanced statistical analyses on complex datasets, interpreting results and drawing actionable conclusions. • Provide guidance and mentorship to biostatisticians and statistical programmers within the team. • Contribute to regulatory submissions by providing statistical expertise and preparing relevant sections of documents. • Stay current with emerging trends and best practices in biostatistics and their application in the biotechnology field. • Drive the implementation and utilization of advanced statistical tools and software. Qualifications: • PhD or equivalent degree in statistics/biostatistics or related discipline with a minimum of 3 years of clinical research and drug development experience, or a Master's degree with a minimum of 7 years relevant work experience. • Deep, hands-on proficiency in R within the Posit/RStudio ecosystem (R Markdown, Shiny, tidyverse). • Substantial oncology trial experience — familiarity with standard oncology designs and endpoints (RECIST, dose-escalation/optimization designs such as BOIN, biomarker-driven subgroup work). • Demonstrated ability to independently own the full analysis lifecycle, from raw data through exploratory analysis to finished output. • Strong understanding of regulatory guidelines (ICH, FDA, etc.) and experience authoring statistical analysis p