Sr. Director, Biostatistics

Company Summary

Atavistik Bio is a privately‑held clinical stage biotechnology company accelerating the discovery and development of transformative precision allosteric therapeutics to address serious unmet patient needs. Our proprietary AMPS™ platform allows us to rapidly unlock functional cryptic pockets across a broad range of target classes to accelerate the development of groundbreaking medicines. We have rapidly established an emerging pipeline of allosteric therapeutics with the potential to achieve superior efficacy and tolerability profiles by leveraging the power of allostery.

Atavistik Bio is led by an experienced team of drug hunters with a proven track record of developing marketed small molecule therapies and supported by top‑tier investors, including The Column Group, Nextech Invest, Lux Capital, Regeneron Ventures, and RA Capital Management.

We are seeking a Sr. Director of Biostatistics. Reporting to the Chief Medical Officer, you will act as the statistical lead for one or multiple programs, providing technical leadership and statistical support on the design, conduct and execution of clinical studies. You will oversee the statistics and programming team through an outsourced model and partner closely with cross‑functional teams to provide expert biostatistics input on development plans, regulatory interactions, and study design.

Responsibilities include authoring and reviewing statistical sections in protocols, determining sample sizes, authoring and reviewing statistical analysis plans and mock TFLs, reviewing study randomization files, ADaM specifications, CRF designs, DMC charters, analyzing and interpreting clinical study results, and ensuring statistical integrity.

• Key contributor on regulatory submissions and communication with global regulatory authorities
• Provide expert statistical advice, methodological research and analysis of trial and epidemiological data to inform the design, planning and execution of clinical studies
• Review and/or author statistical analysis sections of protocols, statistical analysis plans, clinical study reports, regulatory documents or scientific publications, generates or reviews study randomization, and sample size/power estimations
• Oversee and lead the vendor/CRO biostatistics and programming teams, including activities during TFL development, DMC meetings, interim analyses, and database locks
• Execute or oversee individual projects, meeting with study team members, conducting exploratory analyses, and providing analyses for publications
• Evaluate alternative or innovative approaches to statistical methods and study design
• Build relationships with CROs and other external partners to achieve results for specific project needs
• Ensure the delivery of high quality and timely reports to project teams and clinical trial team
• Develop and maintain statistical/programming policies, guidelines, and procedures (SOPs, training manuals, etc.)

• PhD in statistics strongly preferred; candidates with MS in statistics, biostatistics or mathematics and a depth of relevant experience in drug development statistical research will be considered
• Minimum of 8 years of progressive and relevant clinical trial experience
• Experience leading teams and working in a matrix organization
• Experience with blinded study designs and analyzing and interpreting patient reported outcome (PRO) data sets strongly preferred
• Ability to communicate and work directly with non-statisticians, imparting and delivering complex statistical information to scientific development partners and researchers
• Excellent communication with the ability to present to a variety of stakeholders and tailor message accordingly
• Experience managing CROs and other data vendors
• Strong leader with a growth mindset, willing to learn from others, and dedicated to promoting a collaborative work culture
• Ability to keep pace in a fast‑moving organization and navigate ambiguity
• Advanced knowledge of statistical methods in clinical study designs (adaptive, Bayesian), statistical analysis methods including Bayesian methods, missing data imputation, multiplicity adjustment
• Knowle…