Bioinformatics Engineer II (Hybrid Opportunity)

DESIRED QUALIFICATIONS:

• Expertise in Clinical Data Standardization: Direct experience with the OMOP Common Data Model (CDM), including developing ETL processes, mapping clinical data, and understanding the model's structure and purpose.
• Advanced Python for Data Engineering: Deep proficiency in Python, particularly with libraries central to data manipulation (Pandas, Polars), database interaction (SQLAlchemy), and scientific computing (NumPy).
• Bioinformatics Software Development Experience: A proven track record of refactoring, extending, and packaging bioinformatics tools for distribution (e.g., using setuptools, PyPI), demonstrating an understanding of software development best practices like version control, testing, and documentation.
• Specialized Cloud and Database Skills: Hands-on experience with cloud-based data warehousing and database solutions, particularly Google Cloud Platform (GCP) services like BigQuery and Cloud Storage.
• Specific Omics Data Experience: Familiarity with the data structures, QC metrics, and visualization strategies for epigenomics (ATAC-seq) and metabolomics data. Experience creating data tracks for genome browsers (e.g., IGV) is a strong plus.
• Data Governance and Tracking Acumen: A demonstrated interest or experience in designing systems for data tracking, provenance, and improving data visibility and accessibility within a large research consortium.
• Robust Experience with Workflow Managers: Extensive experience building, debugging, and deploying complex scientific workflows using languages like Nextflow or WDL in a cloud or HPC environment.
• Proven Expertise in Data Engineering: Demonstrated experience engineering and maintaining data pipelines, including ETL processes, data cleaning, and data validation. Experience with data modeling and standards (e.g., OMOP CDM) is highly desirable.
• Strong Programming Skills: Proficiency in Python and Linux bash scripting is essential.
• Pipeline and Cloud Proficiency: Hands-on experience with workflow management languages (e.g., Nextflow, WDL), container systems (Docker), and cloud computing environments (GCP, Azure). Experience with databases (SQL, BigQuery) is a strong plus.
• Bioinformatics Acumen: Strong understanding of omics data (e.g., ATAC-seq, metabolomics) and experience with standard bioinformatics tools (e.g., samtools, bcftools).
• Collaborative Mindset: A track record of success in team-based software development projects, with strong communication skills and the ability to work both independently and in a highly collaborative environment.

EDUCATION & EXPERIENCE (REQUIRED):

• Bachelor's degree in bioinformatics, computer science, data science, statistics, or a related field and three years of relevant experience or combination of education and relevant experience. 
• Experience in a quantitative discipline such as economics, finance, statistics or engineering.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

• Substantial experience with MS Office and analytical programs.
• Excellent writing and analytical skills.
• Ability to prioritize workload.

CERTIFICATIONS & LICENSES:

• None

PHYSICAL REQUIREMENTS*:

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

WORKING CONDITIONS:

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

WORKING STANDARDS:

• Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
• Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
• Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu/.

The expected pay range for this position is $108,002 to $128,138 per annum.

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.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

Why Stanford is for You

Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:

• Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.
• A caring culture. We provide superb retirement plans, generous time-off, and family care resources.
• A healthier you. Climb our rock wall or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.
• Discovery and fun. Stroll through historic sculptures, trails, and museums.
• Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more.

Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

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.