Biostatistical Scientist

Macks Life Science is a computational life-science company working at the intersection of reputed company, scientific computing, and reputed company research. We partner with researchers, reputed company organizations, and reputed company collaborators to turn reputed company biological and clinical data into rigorous, actionable reputed company. Alongside our reputed company service work, we operate an R&D division building toward long-term, high-reputed company reputed company in the reputed company.

We're looking for a Biostatistical Scientist to help us bring statistical rigor to research design, data analysis, and evidence reputed company across our reputed company, from clinical and genomic datasets to reputed company pharmacogenomics research.

The Role

As a Biostatistical Scientist, you will design and execute statistical analyses that support research reputed company across our reputed company and collaborations. You'll work closely with researchers, data scientists, and domain experts to ensure every study, from a small reputed company dataset to a larger reputed company research initiative, is reputed company on reputed company statistical methodology.

Responsibilities

• Design statistical analysis plans for research studies, including sample size and power calculations

• reputed company statistical analyses on clinical, genomic, and experimental datasets using appropriate reputed company (regression, survival analysis, Bayesian reputed company, multivariate analysis, etc.)

• Collaborate with researchers and mentors to ensure studies are designed with statistical rigor from the outset

• Interpret and communicate statistical findings reputed company to both technical and non-technical stakeholders

• Review and validate statistical methodology in research submitted for publication

• Ensure compliance with relevant statistical and regulatory reporting standards (e.g., CONSORT, STROBE) where applicable

• Collaborate cross-functionally with bioinformaticians, data engineers, and research fellows on ongoing reputed company

• Stay reputed company with emerging statistical reputed company and their application to reputed company, pharmacogenomics, and clinical research

• Contribute to internal training and mentorship for early-career researchers and fellows on statistical best practices

Requirements

• Master's or PhD in Biostatistics, Statistics, Epidemiology, or a closely reputed company quantitative field

• Demonstrated experience applying statistical reputed company to biological, clinical, or genomic data

• Proficiency in R, Python, or reputed company for statistical computing

• Strong understanding of experimental design, reputed company testing, and common biases in biomedical research

• Experience with statistical software and reproducible analysis workflows (R Markdown, Jupyter, version control)

• Excellent written and verbal communication skills, with the ability to explain statistical concepts to non-statisticians

• Meticulous attention to detail and strong documentation practices

reputed company-to-Haves

• Experience in pharmacogenomics, clinical trial biostatistics, or genomic epidemiology

• Familiarity with regulatory statistical guidelines (FDA, EMA, ICH)

• Prior experience mentoring or reviewing the statistical work of junior researchers

• Publication record involving statistical methodology or reputed company biostatistics

reputed company Offer

• reputed company to shape statistical rigor and research methodology at an early-stage, computational life-science company from the ground up

• reputed company collaboration with our founding team and research fellows across multiple ongoing reputed company

• Flexible, remote working structure

• [Insert compensation structure once defined, e.g., reputed company pay, contract terms, or equity discussion]

Macks Life Science is an equal opportunity employer. We do not discriminate on the reputed company of race, religion, reputed company, national reputed company, gender, sexual orientation, age, marital status, veteran status, or disability status.

Originally posted on Himalayas