Hybrid Work Availability (requires some time on campus): Yes

• With hybrid flexibility, this position is expected to work on campus three days per week.

Purpose of Position

The purpose of this Biostatistician is to serve the School of Medicine and Health
Sciences Biostatistics Core to provide support to faculty, staff, and students who engage in research activities. This position will conduct
statistical analyses, provide guidance on appropriate study design and statistical analyses, and support collaborative research
activities.

Duties & Responsibilities

Conduct statistical analysis and supporting
documentation

• Develops and analyzes a variety of research data using statistical methods.
• Provides support and
  serves as a resource to PI's, faculty, clinical and translational researchers, other biostatisticians, programmers, and data
  analysts.
• Assists researchers in developing appropriate study protocols and computer analyses.
• Participates in the
  development and selection of appropriate statistical methods and tests, sample size calculations and creation of randomization
  schedules.
• Develops and validates statistical programs in R and/or SAS to support statistical analyses.
• Prepares statistical
  method sections for inclusion in study protocols, grants, and manuscripts.
• Provides interpretations of statistical results and
  prepares the relevant statistical sections for study reports, grants, and manuscripts.
• Prepares electronic files using appropriate
  formats for submission to regulatory agencies.
• Creates and maintains biostatistical documentation, including descriptions of
  methods, R or SAS programs and results.

Coordination, management, and expansion of knowledge base of statistical
support

• Evaluates and proposes new statistical methods for data analysis.
• Participates in the development of
  standardization procedures for statistical functions.
• Reviews the design and content of database designs and data edit
  checks.
• Reviews and audits statistical analysis plans, R and SAS programs and statistical reports including tables, listings, and
  figures.
• Manages computer systems, writes programs, and trains others in the use of systems. Keeps abreast of the latest statistical
  modeling and computing tools.
• Reviews and helps prepare statistical and database management sections of NIH grant applications and
  other externally supported proposals prior to submission.

The duties and responsibilities of this position may be completed
through a hybrid work environment and flexible work arrangement.

• Maintain a work schedule as outlined in the employee's
  approved flexible workplace arrangement including outlined work hours, communication mechanisms, and procedures for communicating with
  internal and external partners.
• Meet with immediate work team for a minimum of one weekly team meeting via Zoom, Teams, or another
  virtual meeting platform.
• Attend all required project meetings with internal and external partners via in-person, Zoom, Teams, or
  another virtual meeting platform.
• Attend events at SMHS and on the UND campus as needed.

Required
Competencies

• Advanced skills and understanding of Microsoft Office (Excel and
  PowerPoint).
• Proficiency in modern high level statistical languages such as R and SAS and in database
  management.
• Proficiency in Microsoft Office suite (Word, Excel, PowerPoint, etc.).
• Ability to collaborate effectively with
  project staff to meet shared goals and be dedicated to quality work.
• Strong problem-solving and decision-making skills.
• Must
  demonstrate strong interpersonal skills, both verbal and written.
• Ability to work in a fast-paced environment, meeting deadlines and
  achieving project objectives.
• Ability to demonstrate organizational skills, prioritize, multi-task, take initiative, and to work
  both independently and as a part of a team.
• Ability to have grace under pressure and work efficiently under time constraints while
  producing high quality work product.
• Ability to travel occasionally to national, regional, or local events/meetings.
• Prefer
  knowledge of SAS and R (proficiency with multiple statistical programs preferred).

Minimum
Requirements

• Master's degree in statistics, biostatistics, computer science, or a related
  field.
• Three years of experience as a biostatistician, preferably in an academic setting.
• Successful completion of criminal
  history background check.

In compliance with federal law, all persons hired will be required to verify identity and
eligibility to work in the US and to complete the required employment eligibility verification form upon hire. This position
does not support visa sponsorship for continued employment.

Preferred
Qualifications

• Minimum of one year of experience analyzing longitudinal data in the context of a research
  study.
• Experience with advanced methods (e.g., survival curves, multiple imputations, propensity scores, geospatial analyses, etc.),
  manuscript and presentation preparation.
• Experience in database software. Knowledge of additional specialized software (e.g. SQL,
  Python, ArcGIS, M-Plus, SUDAAN).
• Minimum of two years of experience with health care claims or electronic health record (EHR) data
  analysis.

Hybrid Work Availability (requires some time on campus): Yes

• With hybrid flexibility, this position is expected to work on campus three days per week.

Purpose of Position

The purpose of this Biostatistician is to serve the School of Medicine and Health
Sciences Biostatistics Core to provide support to faculty, staff, and students who engage in research activities. This position will conduct
statistical analyses, provide guidance on appropriate study design and statistical analyses, and support collaborative research
activities.

Duties & Responsibilities

Conduct statistical analysis and supporting
documentation

• Develops and analyzes a variety of research data using statistical methods.
• Provides support and
  serves as a resource to PI's, faculty, clinical and translational researchers, other biostatisticians, programmers, and data
  analysts.
• Assists researchers in developing appropriate study protocols and computer analyses.
• Participates in the
  development and selection of appropriate statistical methods and tests, sample size calculations and creation of randomization
  schedules.
• Develops and validates statistical programs in R and/or SAS to support statistical analyses.
• Prepares statistical
  method sections for inclusion in study protocols, grants, and manuscripts.
• Provides interpretations of statistical results and
  prepares the relevant statistical sections for study reports, grants, and manuscripts.
• Prepares electronic files using appropriate
  formats for submission to regulatory agencies.
• Creates and maintains biostatistical documentation, including descriptions of
  methods, R or SAS programs and results.

Coordination, management, and expansion of knowledge base of statistical
support

• Evaluates and proposes new statistical methods for data analysis.
• Participates in the development of
  standardization procedures for statistical functions.
• Reviews the design and content of database designs and data edit
  checks.
• Reviews and audits statistical analysis plans, R and SAS programs and statistical reports including tables, listings, and
  figures.
• Manages computer systems, writes programs, and trains others in the use of systems. Keeps abreast of the latest statistical
  modeling and computing tools.
• Reviews and helps prepare statistical and database management sections of NIH grant applications and
  other externally supported proposals prior to submission.

The duties and responsibilities of this position may be completed
through a hybrid work environment and flexible work arrangement.

• Maintain a work schedule as outlined in the employee's
  approved flexible workplace arrangement including outlined work hours, communication mechanisms, and procedures for communicating with
  internal and external partners.
• Meet with immediate work team for a minimum of one weekly team meeting via Zoom, Teams, or another
  virtual meeting platform.
• Attend all required project meetings with internal and external partners via in-person, Zoom, Teams, or
  another virtual meeting platform.
• Attend events at SMHS and on the UND campus as needed.

Required
Competencies

• Advanced skills and understanding of Microsoft Office (Excel and
  PowerPoint).
• Proficiency in modern high level statistical languages such as R and SAS and in database
  management.
• Proficiency in Microsoft Office suite (Word, Excel, PowerPoint, etc.).
• Ability to collaborate effectively with
  project staff to meet shared goals and be dedicated to quality work.
• Strong problem-solving and decision-making skills.
• Must
  demonstrate strong interpersonal skills, both verbal and written.
• Ability to work in a fast-paced environment, meeting deadlines and
  achieving project objectives.
• Ability to demonstrate organizational skills, prioritize, multi-task, take initiative, and to work
  both independently and as a part of a team.
• Ability to have grace under pressure and work efficiently under time constraints while
  producing high quality work product.
• Ability to travel occasionally to national, regional, or local events/meetings.
• Prefer
  knowledge of SAS and R (proficiency with multiple statistical programs preferred).

Minimum
Requirements

• Master's degree in statistics, biostatistics, computer science, or a related
  field.
• Three years of experience as a biostatistician, preferably in an academic setting.
• Successful completion of criminal
  history background check.

In compliance with federal law, all persons hired will be required to verify identity and
eligibility to work in the US and to complete the required employment eligibility verification form upon hire. This position
does not support visa sponsorship for continued employment.

Preferred
Qualifications

• Minimum of one year of experience analyzing longitudinal data in the context of a research
  study.
• Experience with advanced methods (e.g., survival curves, multiple imputations, propensity scores, geospatial analyses, etc.),
  manuscript and presentation preparation.
• Experience in database software. Knowledge of additional specialized software (e.g. SQL,
  Python, ArcGIS, M-Plus, SUDAAN).
• Minimum of two years of experience with health care claims or electronic health record (EHR) data
  analysis.