If you searched Superstar Sourcing for Biostatistician (with 1 additional requirement) on January 3, 2026 you'd find 347 great candidates

P**** R****

Pres & CEO, Innovative Analytics

This individual possesses the exact degree (PhD in Biostatistics) and has senior leadership experience spanning decades in biostatistics and data management within the pharmaceutical sector, currently leading an analytics firm. Ex-Upjohn/Pharmacia/Pfizer Exec Director → CEO/Pres, PhD Biostatistics from U of Michigan. Excellent.

S**** H****

Biostatistician

This candidate is an explicit Biostatistician with strong listed expertise areas including clinical trials (Phase I studies) and is located in Michigan. Previous Principal Biostatistician role is a direct match. Extensive Pharma/Health System experience → current/recent Principal Biostatistician @ Arcus. Excellent.

P** L****

Executive Director, Biostatistics & Programming at PPD, Biotech Pillar Head

Perfect fit - extensive executive Biostatistics leadership experience with a strong background in programming and location in Michigan. BS Math/Stats at WMU → UNC MS Biostats → 28 years at PPD/Thermo Fisher leading Biostats/Programming. Excellent.

C**** P****

Statistical Consultant at Center for Statistical Consultation and Research, University of Michigan

Excellent fit - a statistician at U of Michigan with deep experience in consulting, R, SAS, and clinical trials. Mathematician specializing in stats/bioinformatics → Statistical Consultant at UMich for 12+ years, expert in R/SAS/Clinical Trials. Excellent.

J**** B****

Research Scientist

This candidate is an excellent fit, having decades of relevant experience as a Senior Biostatistician in research and clinical/observational studies, and is located in Michigan. Associate Research Scientist → SENIOR BIOSTATISTICIAN at Arbor Research Collaborative for Health (11+ years) in Michigan. Excellent.

M** Z****

Professor at University of Michigan

Perfect match - Professor at the University of Michigan specializing in statistical methodology for clinical trials and has a PhD in Statistics. Ecology MA → Statistics PhD from NCSU → Assistant/Associate/Full Professor at UMich for 17 years, focusing on Clinical Trials methodology. Excellent.

K**** S****

Biostatistician @ Children's Mercy Research Institute | MS Biostatistics University of Michigan

Excellent fit - currently working as a Biostatistician in Michigan and holds relevant SAS certifications for clinical trials. Biostats BS from USF → MS Biostats UMich → Children's Mercy Biostatistician. Excellent.

W**** C****

Health Care Analyst / Biostatistician

This individual explicitly holds the title Health Care Analyst / Biostatistician, has an MPH in Biostatistics, and lists proficiency in SAS and R, perfectly matching the core requirements and location. Health Care Analyst / Biostatistician at BCBS Michigan (6+ years). Excellent.

K**** P****

Biostatistician

This candidate is an excellent fit, currently working as a Biostatistician in pharma environments with demonstrated SAS proficiency and Phase I-III clinical trial exposure. Biostatistician at Tigermed/PPD/Phastar (SAS programming, SAPs) → MS Biostats U of Michigan. Excellent.

C**** P**

Excellent fit - nearly 20 years experience, including a long tenure as Senior Statistician at University of Michigan Cardiology, and holds a PhD. Senior Statistician @ UMich Cardiology (5+ yrs) → Research Lead @ UMich → Analyst roles. Meets all core requirements located in Michigan with direct Biostats title. Excellent.

T**** B****

Epidemiologist at Chicago Department of Public Health

This epidemiologist has extensive recent experience utilizing SAS for analyzing public health surveillance data and producing reports, strongly suggesting the required statistical programming skills, and is located near Michigan. Epidemiologist at Chicago CDPH; used SAS extensively. Excellent.

Y*** S**

Assistant Professor and Co-Director of Biostatistics and Bioinformatics Core, Karmanos Cancer Institute and Wayne State University School of Medicine

Excellent fit - currently serving as an Assistant Professor/Co-Director focused on Biostatistics in Michigan, with training from UMich, and explicit experience applying statistical methodologies to biomedical research. UMich MS/PhD Biostats → Asst Prof/Co-Director at Wayne State/Karmanos. Excellent.

S**** S****

Senior Biostatistician at Joint Commission

Excellent title match with a PhD in Biostatistics and local presence, although the recent experience listed is 'Freelance' after a long tenure at Joint Commission. U of M PhD/MPH → Joint Commission (21 yrs) → Freelance. Excellent.

R**** H**

University of Michigan - Biostatistics

Excellent fit with MS in Biostatistics from U of Michigan, recent Biostatistician I role utilizing SAS, and direct experience at Michigan Medicine, all within a close location. Career progression: Internships (Regeneron, BI) → Co-Op (BI) → Research Assistant (Michigan Medicine) → Biostatistician I (LLX Solutions). Excellent.

Y**** Z****

Tenure-track Assistant Professor in Statistics at Western Michigan University

Currently working as a Statistics Professor in Michigan with a Ph.D. in Applied Statistics, making this an extremely strong fit conceptually, though tool specifics (SAS/R) are missing from the profile summary. Professor at South Alabama → WMU Statistics Professor. Excellent.

J**** X**

Takeda Pharmaceuticals

This candidate is an excellent match possessing extensive experience as a Principal Statistician leading Phase 1 trials and collaborating on SAPs. Takeda (12y 5m) → Principal Statistician, extensive Phase 1 clinical trial management and statistical analysis support. Strong.

M**** L**

Director Biostatistics at Astellas Pharma

Excellent fit for a director-level statistical role focused on biostatistics, as evidenced by the current title being Director Biostatistics at Astellas Pharma. Experience: Director Biostatistics at Astellas Pharma (11+ years). Strong.

J**** L**

Biostatistician, Survey statistician

This senior candidate has extensive biostatistician roles, including research focus, and is located within the radius. Self-employed Statistician → Sr. Statistician at U of Michigan Cancer Center → Biostatistician at Cleveland Clinic/Eli Lilly. Excellent.

S**** P****

Biostatistics M.S.

This candidate explicitly lists Biostatistics M.S., explicitly names SAS and R proficiency, is located in Michigan, and describes a desire to work on research/biotech data analysis, strongly implying statistical work. Psychology BS → graduate statistics courses → SAS/R proficiency → current specialist role. Excellent.

A**** N****

Data saves lives

This candidate is an experienced consultant and professor whose background explicitly includes biostatistics and extensive clinical trials experience, and is located within the radius. Professor/Consultant @ NW Feinberg → extensive clinical trials leadership, biostatistics teaching. Excellent.

E*** R****

Lead Statistician at University of Michigan

This candidate is highly qualified with a clear background in biostatistics roles within Michigan. PhD Biostatistics → Assistant Professor at MSU → Lead Statistician at UMich. Excellent.

H**** Z****

PhD Candidate in Biostatistics at University of Michigan

This candidate is an excellent match, actively studying Biostatistics at the University of Michigan and developing advanced statistical frameworks for genetic studies. PhD Candidate in Biostatistics (UofM) → GRA (Biostatistics UofM) → GRA (Medical School UofM), developing TWAS/GWAS/Bayesian models. Excellent.

S**** M****

Senior Principal Statistician at United BioSource Corporation

Excellent fit for a senior statistician role with extensive pharma background in Michigan. Ex-Parke Davis → Pfizer (11+ yrs) → United BioSource Sr Principal Statistician, MI resident, Math degrees from UMich/Wayne St. Excellent.

X**** W*

Statistical Programmer/ Biostatistician

This individual is an experienced biostatistician/programmer with explicit recent experience in clinical trials using SAS and R, and is based in Michigan. Sr. Statistical Programmer → Statistician Staff Specialist at U of Michigan → Research Assistant at MSU. Excellent.

D**** J***

Ph.D. | Biostatistician | Exposure risk scores | Survey data analysis | Research Scientist | Machin Learning | R | SAS

Excellent match for the required expertise and location, actively working as a Biostatistician in Michigan. Utilized R and SAS extensively in research roles at Michigan Medicine and Iowa State. Biostatistician Research Fellow at Michigan Medicine → Graduate Research Assistant at ISU. Strong.

L**** W***

Biostatistics PhD candidate | Causal Inference | Machine Learning | EMR/EHR data | Survey analysis

This candidate is a strong fit, currently a PhD candidate in Biostatistics at MSU with current/recent roles as Sr. Statistician and proficiency in SAS/R. Sr. Statistician at Atrium Health → PhD Candidate Biostats at MSU (proficient R, SAS, Clinical Trial course). Strong.

K**** W****

Biostatistician

This candidate is an excellent match, currently working as a Biostatistician with relevant experience and skills in Biostatistics and Clinical programming. Biostatistician I at Centene → Biostatistics/Clinical Programming at Novo Nordisk → Grad Assistant at GVSU (MS Biostats). Excellent.

R** C****

Principal Statistician at Abbott Laboratories

Excellent fit with deep experience as Principal Statistician, confirmed SAS proficiency, and relevant education, though location is out of state. Abbott → Summit Analytical → Abbott, PhD in Applied Statistics. Excellent.

Y**** F***

Director, MA&HTA Statistics at AbbVie

Excellent fit for a senior statistical role within the medical/pharma domain, as Director, MA&HTA Statistics at AbbVie, matching Biostatistician criteria strongly through statistics expertise in a medical context. Experience: Prof/Asst Prof academia → Postdoc Columbia → various roles at AbbVie culminating in Director, MA&HTA Statistics. Excellent.

R**** L**

| Data Science Analyst @ Blue Cross | Machine Learning and Data Analysis Focus | Ms in Applied Statistics at UMich

This candidate has a Master's in Applied Statistics, proficiency in SAS/R, and current experience as a Data Science Analyst in healthcare, scoring very high despite the lack of explicit clinical trials mention. UMich MS Stats → Data Science Analyst @ BCBS of MI, 4 years experience. Strong.