Researcher 5 - Cancer Survivorship and Benign Hematology Research Program Statistician
Apply NowCompany: University of Minnesota
Location: Saint Paul, MN 55111
Description:
The Biostatistician (Researcher 5) role has been created to support the research activities of Assistant Professor Cindy Im, PhD, MPH. This position will interface as part of a collaborative and growing research team in childhood cancer survivorship research within the Division of Epidemiology and Clinical Research in the Department of Pediatrics. The primary purpose of this role is to serve as the resident expert in several complex data resources, including, but not limited to, the Childhood Cancer Survivor Study, the St. Jude Lifetime Cohort Study, and SEER, in addition to supporting complex statistical analyses and research collaborations across divisions, departments, and institutions in cancer survivorship and outcomes research. Current work is focused on subsequent malignancies and other late complications of childhood cancer treatment. This position is a 1.0 FTE. Depending on the level of experience of the candidate, this role could potentially have a hybrid presence (both on-site and remote) with significant flexibility.
Responsibilities
Data Analysis and Analysis Design (75%)
Provide high-level research support by providing statistical analysis plans, independently executing these plans, and supporting interpretation of analytic results for projects led by
University of Minnesota researchers and faculty
Conduct analyses to support research grant submissions
Design and compile statistical analysis protocols/standards
Review analytic code and results for potential issues (e.g., errors), propose and communicate alternative approaches/solutions, and implement plans to resolve
Summarize and communicate results of analyses effectively, including providing publication-ready tables/figures
Innovate and apply novel, cutting-edge biostatistical methodologies, including devising and implementing simulation studies, as needed
Research Team Collaboration and Project Management (25%)
As appropriate, advise and support other principal investigators and trainees (e.g., post-doctoral fellows, graduate students) in conducting and interpreting/reporting statistical analyses
Effectively collaborate with principal investigators to support the preparation of the following in a timely manner:
o Descriptions of methods and table/figure displays for peer-reviewed research manuscripts
o Release of new datasets (including data dictionaries) for public download
o Presentations of interim/final results at seminars, scientific conferences, and/or related
professional settings
o Major research grants, including providing results describing preliminary data and
supporting power calculations
Qualifications
Required Qualifications
Advanced degree (Masters or PhD) in Biostatistics, Statistics, or related health disciplines with 1 or more years of research training.
Excellent command of statistical programming languages commonly used in epidemiological analyses; in particular, proficiency in R or SAS is required: if the candidate is proficient in only
one of these languages, the candidate will be expected to learn how to use both languages with equal proficiency
Strong verbal and written communication skills, including the ability to document methods and results clearly for manuscripts
Experience working under short timelines; proven ability to adhere to strict project schedules
Proven experience with working independently and collaborating as part of a multi-disciplinary team consisting of clinician-scientists, basic scientists, epidemiologists, and statisticians
Excellent interpersonal, organizational and time management skills
Preferred Qualifications
Experience working with computationally intensive problems
Familiarity with High Performance Computing (HPC) clusters, job scheduling software, and a UNIX/Linux environment
Benefits
Working at the University
At the University of Minnesota, you'll find a flexible work environment and supportive colleagues who are interested in lifelong learning. We prioritize work-life balance, allowing you to invest in the future of your career and in your life outside of work.
The University also offers a comprehensive benefits package that includes:
Please visit the Office of Human Resources website for more information regarding benefits.
How To Apply
Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.
Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.
To request an accommodation during the application process, please e-mail [redacted] or call ([redacted].
Diversity
The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. 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. To learn more about diversity at the U: http://diversity.umn.edu
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.
About the U of M
The University of Minnesota, Twin Cities (UMTC)
The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.
At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America's Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).
The University of Minnesota Medical School
Committed to innovation and diversity, the Medical School educates physicians, scientists, and health professionals; generates knowledge and treatments; and cares for patients and communities with compassion and respect. We value excellence, inclusiveness, collaboration, and discovery.
The mission of the regional campus located in Duluth is to be a national leader in improving healthcare access and outcomes in rural Minnesota and American Indian/Alaska Native (AI/AN) communities. In partnership with CentraCare, the regional campus in St. Cloud offers a wide range of patient experiences throughout students' education in Greater Minnesota and prepares them to become exceptional clinicians and leaders for rural and immigrant populations.
Founded in 1888, the University of Minnesota Medical School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud.
Responsibilities
Data Analysis and Analysis Design (75%)
Provide high-level research support by providing statistical analysis plans, independently executing these plans, and supporting interpretation of analytic results for projects led by
University of Minnesota researchers and faculty
Conduct analyses to support research grant submissions
Design and compile statistical analysis protocols/standards
Review analytic code and results for potential issues (e.g., errors), propose and communicate alternative approaches/solutions, and implement plans to resolve
Summarize and communicate results of analyses effectively, including providing publication-ready tables/figures
Innovate and apply novel, cutting-edge biostatistical methodologies, including devising and implementing simulation studies, as needed
Research Team Collaboration and Project Management (25%)
As appropriate, advise and support other principal investigators and trainees (e.g., post-doctoral fellows, graduate students) in conducting and interpreting/reporting statistical analyses
Effectively collaborate with principal investigators to support the preparation of the following in a timely manner:
o Descriptions of methods and table/figure displays for peer-reviewed research manuscripts
o Release of new datasets (including data dictionaries) for public download
o Presentations of interim/final results at seminars, scientific conferences, and/or related
professional settings
o Major research grants, including providing results describing preliminary data and
supporting power calculations
Qualifications
Required Qualifications
Advanced degree (Masters or PhD) in Biostatistics, Statistics, or related health disciplines with 1 or more years of research training.
Excellent command of statistical programming languages commonly used in epidemiological analyses; in particular, proficiency in R or SAS is required: if the candidate is proficient in only
one of these languages, the candidate will be expected to learn how to use both languages with equal proficiency
Strong verbal and written communication skills, including the ability to document methods and results clearly for manuscripts
Experience working under short timelines; proven ability to adhere to strict project schedules
Proven experience with working independently and collaborating as part of a multi-disciplinary team consisting of clinician-scientists, basic scientists, epidemiologists, and statisticians
Excellent interpersonal, organizational and time management skills
Preferred Qualifications
Experience working with computationally intensive problems
Familiarity with High Performance Computing (HPC) clusters, job scheduling software, and a UNIX/Linux environment
Benefits
Working at the University
At the University of Minnesota, you'll find a flexible work environment and supportive colleagues who are interested in lifelong learning. We prioritize work-life balance, allowing you to invest in the future of your career and in your life outside of work.
The University also offers a comprehensive benefits package that includes:
- 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
Please visit the Office of Human Resources website for more information regarding benefits.
How To Apply
Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.
Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.
To request an accommodation during the application process, please e-mail [redacted] or call ([redacted].
Diversity
The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. 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. To learn more about diversity at the U: http://diversity.umn.edu
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.
About the U of M
The University of Minnesota, Twin Cities (UMTC)
The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.
At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America's Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).
The University of Minnesota Medical School
Committed to innovation and diversity, the Medical School educates physicians, scientists, and health professionals; generates knowledge and treatments; and cares for patients and communities with compassion and respect. We value excellence, inclusiveness, collaboration, and discovery.
The mission of the regional campus located in Duluth is to be a national leader in improving healthcare access and outcomes in rural Minnesota and American Indian/Alaska Native (AI/AN) communities. In partnership with CentraCare, the regional campus in St. Cloud offers a wide range of patient experiences throughout students' education in Greater Minnesota and prepares them to become exceptional clinicians and leaders for rural and immigrant populations.
Founded in 1888, the University of Minnesota Medical School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud.