Biostatistician 2

🔍 School of Medicine, Stanford, California, United States

New

📁: Information Analytics

📅   : 1 day ago Post Date

📅   : 105583 Requisition #

Stanford University is seeking a Biostatistician 2 to join the lab of Dr. Tanja A. Gruber at the Stanford School of Medicine in the Department of Pediatrics, Division of Hematology Oncology Stem Cell Transplant and Regenerative Medicine. This individual will analyze large and small datasets from next generation sequencing platforms and perform statistical analyses as needed. This is a highly collaborative position, working with benchtop scientists and clinicians on projects in addition to leading bioinformatic based projects. The biostatistician is expected to be with some independence, consult with investigators to refine research questions, define hypotheses, design studies, devise analysis plans and visualize results of studies.

Duties include:

· Design study.

· Develop and implement protocol for quality control.

· Create analytic files with detailed documentation.

· Select appropriate statistical tools for addressing a given research question.

· Implement data analysis through statistical programming.

· Present results for investigators using graphs and tables.

· Summarize findings orally and in written form.

· Participate in the preparation of papers for publication.

· Consult with investigators on appropriate statistical approaches to data analyses; assist in study design and proposal development.

· Mentor collaborators in areas of experimental design, quality control, and statistical analysis

· Develop oral and written dissemination of findings for conference presentations and peer-reviewed journal articles.

· Oversee lower-level staff on issues related to quality control and creation of analysis files.

- Other duties may also be assigned

All members of the Department of Pediatrics are engaged in continuous learning and improvement to foster a culture where diversity, equity, inclusion, and justice are central to all aspects of our work. The Department collectively and publicly commits to continuously promoting anti-racism and equity through its policies, programs, and practices at all levels.

Stanford University provides pay ranges representing its good faith estimate of what the University reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. The pay range for this position working in the California Bay area is $112,292.00 to $132,108.

DESIRED QUALIFICATIONS:

• Previous experience with analysis of high throughput data and large datasets from next generation sequencing platforms, mass spectrometry, microarrays, etc.

• Proficiency in at least one data-analysis or scripting language (R, Python/Perl, or other languages).

• Previous experience using Unix/Linux environment.

• Demonstrated ability to work with biologists to apply computational approaches to meet research goals.

• Design and develop algorithms for analyzing genomics data.

• Experience communicating diverse and technical work.

• Demonstrated ability to work productively as part of a team.

• Attention to detail and high standard for quality of work product.

• Experience working on collaborative research projects.

• Ability to initiate, organize, and manage research projects and clearly communicate analysis results to diverse audiences.

• Be highly inquisitive, self-motivated, and results-oriented.

EDUCATION & EXPERIENCE (REQUIRED):

Master's degree in biostatistics, statistics or related field and at least 3 years of experience.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

· Proficient in at least two of R, SAS, SPSS, or STATA.

· Skills in descriptive analysis, modeling of data, and graphic interfaces.

· Outstanding ability to communicate technical information to both technical and non-technical audiences.

· Demonstrated excellence in at least one area of expertise, which may include coordinating studies; statistical methodology such as missing data, survival analysis, statistical genetics, or informatics; statistical computing; database design (e.g., expertise in RedCAP or MySQL); graphical techniques (e.g., expertise in Illustrator).

CERTIFICATIONS & LICENSES:

None

PHYSICAL REQUIREMENTS*:

· Frequently perform desk-based computer tasks, seated work and use light/ fine grasping.

· Occasionally stand, walk, and write by hand, lift, carry, push pull objects that weigh up to 10 pounds.

* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.