Entry Level Biomedical Data Scientist Jobs in California

Stanford University is seeking a Research Data Analyst 2 - Biomedical Data Science to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision.

Stanford University is one of the world’s most renowned universities. Sitting in the heart of the San Francisco Bay Area among the valley’s most progressive companies.

The Department of Pathology at Stanford School of Medicine, one of its founding departments, stands as a leader among its peers nationwide. Our preeminent faculty spans from emerging leaders to highly accomplished physicians and scientists, including a Nobel laureate and members of the National Academy. Our mission is to improve the diagnosis, treatment, and basic understanding of the human disease. This is done through discovery (research), education, and clinical care.

You will be working with an unparalleled leading-edge community of faculty and staff that are fundamentally changing the world of health care. You will have the opportunity to influence and drive change with your innovative ideas, the ability to make a difference and participate in human advancements. Our culture is fast-paced, energetic, and growing all of the time.

We offer a variety of benefits beyond traditional medical, dental, retirement, and savings options:

• Events and program for children, sports camps, tuition options
• World-class intellectual stimulation through learning and development classes, workshops, and onsite conferences from leading-edge speakers and faculty
• Work/life and family-friendly policies and reimbursement
• Participation in Stanford’s social responsibility and sustainable programs for a better world
• A vibrant university culture that values the uniqueness of each individual

We are seeking candidates who are progressive thinkers, see challenges as simply problems to solve, and have the spirit and energy to change the world.

About the Department of Pathology:

Comprised of extraordinary faculty and staff, our mission is to improve the ability to diagnose, treat and understand the origin and manifestation of human disease, and to care for those who have or are at risk to develop disease. We accomplish this through our clinical services (in all fields of anatomic and clinical pathology, including molecular and genomic pathology, histocompatibility testing and transfusion medicine) and be research (which includes basic, translational and clinical research into the origins and manifestations of disease, including efforts to improve disease prediction and prevention as part of the goal of achieving precision medicine and health), and also by educating future leaders in pathology and related fields. Everything we do is to achieve the goals of providing the highest quality of clinical services to the patients for whom we passionately care, to advance our ability to understand, diagnose, monitor and ultimately to cure disease or to prevent or delay its occurrence, and to provide outstanding education and career development opportunities to those who share these goals.

For more information about the department visit: http://pathology.stanford.edu/

About the Sean N. Parker Center:

The Sean N. Parker Center for Allergy and Asthma Research at Stanford University is the first of its kind, dedicated to advancing treatments and discovering underlying immune mechanisms to develop lasting cures for allergies and asthma in both children and adults. Our interdisciplinary team of leading scientists, physician-scientists, and specialists from fields such as immunology, gastroenterology, otolaryngology, chemistry, bioengineering, pathology, pulmonology, and genetics collaborates on cutting-edge research aimed at understanding immune dysfunctions that lead to allergic reactions.

As a global leader in allergy research, our Center works collaboratively with researchers worldwide, sharing data through an interlinked network of satellite centers to conduct innovative clinical trials. Our research efforts extend beyond allergies and asthma to encompass a range of immune-related disorders, including eczema, food allergies, eosinophilic conditions, drug allergies, and gastrointestinal diseases.

Through laboratory and computational research, clinical trials, and community outreach, we are committed to developing rational, evidence-based therapies that provide the safest and most effective treatments for patients. By combining innovative science with compassionate care, we strive to transform lives at both local and global levels.

About the Position:

The Sean N. Parker Center for Allergy and Asthma Research at Stanford University is seeking a Research Data Analyst 2 - Biomedical Data Science. This position will lead the development of research data infrastructure that integrates and harmonizes multimodal clinical research data across studies. The successful candidate will apply modern data science, biomedical informatics, and artificial intelligence methods to create standardized, research-ready datasets that accelerate discovery in allergy and immunology. At the Sean N. Parker Center for Allergy and Asthma Research, the world's leading scientists, physician scientists, and research teams come together to study and understand the molecular underpinnings of allergies and asthma. We are committed to finding causes, treatments, and cures for allergies and asthma, and bringing these to children, adults, and their families at local and global levels. Transforming lives with innovative science and compassionate care. We are seeking a candidate who sits at the intersection of biomedical research, data science, and artificial intelligence, with experience developing research data infrastructure, harmonizing complex clinical datasets, and applying AI-enabled analytical approaches to accelerate translational research.

Duties include:

• Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.
• Assist with the design of data collection instruments and statistical analysis plans under the supervision of research data manager and a senior biostatistician
• Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness.
• Design and customize reports based upon data in the database.
• Oversee and monitor regulatory compliance for utilization of the data.
• Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others.
• Serve as a resource for non‑routine inquiries such as requests for statistics or surveys.
• Test prototype software and participate in approval and release process for new software.
• Provide documentation based on audit and reporting criteria to investigators and research staff.
• Lead efforts to harmonize clinical, laboratory, genomic, biospecimen, imaging, and patient‑reported outcomes data collected across multiple studies into standardized research datasets that support secondary analyses, precision medicine initiatives, and artificial intelligence applications.

*- The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

Physical Requirements*:

• Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
• Occasionally use a telephone.
• Rarely writing by hand.

* - 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.

Working Conditions:

• Some work may be performed in a laboratory or field setting.