University of Minnesota
PhD Epidemiologist- IDIM
University of Minnesota, Minneapolis, Minnesota, United States, 55400
PhD Epidemiologist – Advanced HIV Research
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Position Summary We are seeking a highly motivated PhD-level Epidemiologist with strong expertise in biostatistical methods and database management to support clinical and laboratory-based research in the field of advanced HIV disease and opportunistic infections. The ideal candidate will have a proven track record of applying rigorous epidemiologic and statistical approaches to complex datasets, collaborating with multidisciplinary teams, and advancing knowledge in pathogenesis, prevention, diagnosis and treatment of opportunistic infections related to advanced HIV.
Key Responsibilities
Design and implement statistical analyses for clinical trials, cohort studies, and laboratory-based investigations related to HIV and opportunistic infections.
Develop and apply advanced epidemiological methods to assess disease burden, risk factors, and outcomes in populations affected by advanced HIV disease.
Collaborate with investigators, clinicians, and laboratory scientists to integrate epidemiological and biostatistical perspectives into study design and interpretation.
Work collaboratively with the existing biostatistical team on data management, quality control, and reproducible analytic pipelines for large and complex datasets, including clinical and laboratory data.
Contribute to manuscript preparation, grant applications, and conference presentations by providing robust statistical and epidemiological expertise.
Mentor junior researchers, trainees, and staff in epidemiology and biostatistics.
Stay current with advances in HIV research, epidemiologic methods, and statistical tools to ensure cutting-edge approaches are applied.
Qualifications Required Qualifications
PhD in Epidemiology, Biostatistics, or a closely related field with substantial research and publication records.
Demonstrated expertise in advanced statistical methods, including survival analysis, longitudinal data analysis and meta-analysis.
Experience with HIV research, particularly advanced HIV disease and opportunistic infections, strongly preferred.
Experience with RedCap.
Proficiency in statistical software such as R, SAS, or Stata; experience with data visualization and reproducible workflows (e.g., R Markdown, Git) is desirable.
Strong publication record in peer-reviewed journals.
Excellent written and verbal communication skills with the ability to convey complex statistical findings to diverse audiences.
Collaborative mindset and experience working in multidisciplinary research teams.
Preferred Qualifications
Experience with laboratory-based datasets, biomarker analysis, or integration of clinical and laboratory data.
Familiarity with global health research or work in resource-limited settings.
Knowledge of regulatory and ethical frameworks governing HIV clinical research.
Pay And Benefits Pay Range: Starting range is $55,952 - $172,000, depending on education/qualifications/experience.
Time Appointment Category: 75%-100% Appointment.
Position Type: Civil-Service & Non-Faculty Labor Represented Staff.
Benefits include:
Competitive wages, paid holidays, and generous time off
Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program
Low-cost medical, dental, and pharmacy plans
Healthcare and dependent care flexible spending accounts
University HSA contributions
Disability and employer-paid life insurance
Employee wellbeing program
Excellent retirement plans with employer contribution
Public Service Loan Forgiveness (PSLF) opportunity
Financial counseling services
Employee Assistance Program with eight sessions of counseling at no cost
Employee Transit Pass with free or reduced rates in the Twin Cities metro area
How To Apply Applications must be submitted online. To be considered for this position, click the Apply button and follow the instructions. Attach a cover letter and resume. Additional documents may be uploaded via the My Job Applications page.
To request an accommodation during the application process, email employ@umn.edu or call (612) 624-8647.
Diversity The University recognizes and values the importance of diversity and inclusion. The University is committed to attracting and retaining employees with varying identities and backgrounds. The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression.
Employment Requirements Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.
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Position Summary We are seeking a highly motivated PhD-level Epidemiologist with strong expertise in biostatistical methods and database management to support clinical and laboratory-based research in the field of advanced HIV disease and opportunistic infections. The ideal candidate will have a proven track record of applying rigorous epidemiologic and statistical approaches to complex datasets, collaborating with multidisciplinary teams, and advancing knowledge in pathogenesis, prevention, diagnosis and treatment of opportunistic infections related to advanced HIV.
Key Responsibilities
Design and implement statistical analyses for clinical trials, cohort studies, and laboratory-based investigations related to HIV and opportunistic infections.
Develop and apply advanced epidemiological methods to assess disease burden, risk factors, and outcomes in populations affected by advanced HIV disease.
Collaborate with investigators, clinicians, and laboratory scientists to integrate epidemiological and biostatistical perspectives into study design and interpretation.
Work collaboratively with the existing biostatistical team on data management, quality control, and reproducible analytic pipelines for large and complex datasets, including clinical and laboratory data.
Contribute to manuscript preparation, grant applications, and conference presentations by providing robust statistical and epidemiological expertise.
Mentor junior researchers, trainees, and staff in epidemiology and biostatistics.
Stay current with advances in HIV research, epidemiologic methods, and statistical tools to ensure cutting-edge approaches are applied.
Qualifications Required Qualifications
PhD in Epidemiology, Biostatistics, or a closely related field with substantial research and publication records.
Demonstrated expertise in advanced statistical methods, including survival analysis, longitudinal data analysis and meta-analysis.
Experience with HIV research, particularly advanced HIV disease and opportunistic infections, strongly preferred.
Experience with RedCap.
Proficiency in statistical software such as R, SAS, or Stata; experience with data visualization and reproducible workflows (e.g., R Markdown, Git) is desirable.
Strong publication record in peer-reviewed journals.
Excellent written and verbal communication skills with the ability to convey complex statistical findings to diverse audiences.
Collaborative mindset and experience working in multidisciplinary research teams.
Preferred Qualifications
Experience with laboratory-based datasets, biomarker analysis, or integration of clinical and laboratory data.
Familiarity with global health research or work in resource-limited settings.
Knowledge of regulatory and ethical frameworks governing HIV clinical research.
Pay And Benefits Pay Range: Starting range is $55,952 - $172,000, depending on education/qualifications/experience.
Time Appointment Category: 75%-100% Appointment.
Position Type: Civil-Service & Non-Faculty Labor Represented Staff.
Benefits include:
Competitive wages, paid holidays, and generous time off
Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program
Low-cost medical, dental, and pharmacy plans
Healthcare and dependent care flexible spending accounts
University HSA contributions
Disability and employer-paid life insurance
Employee wellbeing program
Excellent retirement plans with employer contribution
Public Service Loan Forgiveness (PSLF) opportunity
Financial counseling services
Employee Assistance Program with eight sessions of counseling at no cost
Employee Transit Pass with free or reduced rates in the Twin Cities metro area
How To Apply Applications must be submitted online. To be considered for this position, click the Apply button and follow the instructions. Attach a cover letter and resume. Additional documents may be uploaded via the My Job Applications page.
To request an accommodation during the application process, email employ@umn.edu or call (612) 624-8647.
Diversity The University recognizes and values the importance of diversity and inclusion. The University is committed to attracting and retaining employees with varying identities and backgrounds. The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression.
Employment Requirements Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.
#J-18808-Ljbffr