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The Deep Data Research Center is dedicated to applying its expertise in the science and ethics of genomics to build a new collaborative model of science focused on transforming the practice of medicine.

This new paradigm of patient-centered medicine gives doctors the ability to monitor the entire biological profile of individuals, vastly improving disease prediction and prevention, and the treatment of conditions such as cancer, diabetes, heart disease, asthma, schizophrenia, and many others.

Full time positions

Software Developer 1 - #89167

(1 Year Fixed Term) in School of Medicine, Stanford, California, United States

The Snyder lab in the Department of Genetics at Stanford University is seeking a Software Developer 1 to execute all programming tasks, including programming, analyzing, designing, developing, implementing, modifying, and maintaining iOS/Android apps. Work on systems of small to moderate size and complexity or segments of larger systems.

Duties include:

Assess user needs and requirements.
Design and develop iOS/Android apps
Maintain and improve existing iOS/Android apps.
Troubleshoot and solve technical problems with the new/existing iOS/Android apps
Design and implement user and operations training programs.
Document changes in software for end users.
Follow team software development methodology.
Attend meetings with users and handle requirement gathering.
Contribute to published articles, and presentations

* – Other duties may also be assigned.

DESIRED QUALIFICATIONS:

Strong knowledge of mobile programming (iOS and Android development).
Preferably experienced in Swift /Java.
Strong knowledge of Python programming language.
Familiarity with JavaScript and building and managing online surveys and databases (e.g., REDCap).
Familiarity with wearable devices.
Familiarity in containerization technologies.
Familiarity with major cloud providers: Google Cloud Platform, Amazon Web Services, Microsoft Azure.

EDUCATION & EXPERIENCE (REQUIRED):

Bachelor’s degree and three years of relevant experience or a combination of education and relevant experience.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

Current knowledge of latest software and design standards.
Ability to define and solve logical problems for technical applications.
Knowledge of and ability to select, adapt, and effectively use a variety of programming methods.
Ability to recognize and recommend needed changes in user and/or operations procedures.
Basic knowledge of software engineering principles.
Strong knowledge of at least one programming language.

Interested? Click here to learn more and apply for this position.

Software Developer 1 - #89168

(1 Year Fixed Term) in School of Medicine, Stanford, California, United States

The Snyder lab in the Department of Genetics at Stanford University is seeking a Software Developer 1 to execute all programming tasks, including programming, analyzing, designing, developing, implementing, modifying, and maintaining computer programs. Work on systems of small to moderate size and complexity or segments of larger systems.

Duties include:

Assess user needs and requirements.
Design and develop cloud-based applications using container orchestration systems (e.g., Kubernetes).
Maintain and improve existing cloud-based solutions.
Troubleshoot and solve technical cloud-based problems.
Design and implement user and operations training programs.
Document changes in software for end users.
Follow team software development methodology.
Serve as technical resource with respect to surveys and databases.
Contribute to published articles.
Attend meetings with users and handle requirement gathering.
Building and managing online surveys and databases (e.g., REDCap).

* – Other duties may also be assigned.

DESIRED QUALIFICATIONS:

Strong knowledge of scripting languages such as Bash, JavaScript.
Strong knowledge of Python programming language.
Strong background in containerization technologies.
Strong background in designing clinical and translational research databases (e.g., REDCap).
Familiarity with container orchestration platforms (e.g., Kubernetes).
Familiarity with major cloud providers: Google Cloud Platform, Amazon Web Services, Microsoft Azure.
Familiarity with bioinformatics workflow management platforms (e.g., Cromwell, Nextflow).

Interested? Click here to learn more and apply for this position.

Internship program

The Deep Data Research Center is seeking student interns interested in working in the following research areas:

Pervasive Computing in Healthcare

Mobile programming (iOS/Android development)
Wearables data

Scalability of Large-scale Multi-omics Applications

HPC programming (MPI, OpenMP, CUDA, MapReduce)
Cloud infrastructures (AWS, Google Cloud, Microsoft Azure)

Large-scale computing frameworks (Apache Spark)

Large-scale Security and Privacy
Vulnerability management and security configuration management experience
Anonymized genetic data sharing

Management of Big Data Repositories

Data reproducibility and provenance
Efficient storage management (e.g., compression algorithms)
Database management systems (e.g., NoSQL and graph databases)

AI/ML in Biology and Healthcare

Deep learning paradigms (PyTorch, TensorFlow, Keras)
Data mining techniques (supervised and unsupervised learning)
Scientific AI for computational sciences, especially for computational biology

Performance Engineering for Cost-sensitive Applications

Profiling tools (Intel VTune, Caliper, HPC toolkit, Likwid)
Auto-tuning technologies (source code-based/compiler-based auto-tuner)
Machine learning compilers and novel compilation/runtime techniques
Binary-based link-time optimizations
Performance modeling techniques
Domain-specific languages (e.g., Julia)

How to apply to the internship:

Our center is prepared to hire strong candidates who want to hone in their skills in a stimulating collaborative environment while contributing to cutting-edge health care projects.

Interns will work with the Deep Data Research Center for up to 3 months and be paid a stipend.

If you have experience in any of the above areas + coding proficiency in Python, Java, C/C++, Bash, SQL , R, Swift, or some other high-level programming language, please upload your CV and cover letter by clicking the button below. Please name your CV and cover letter with your full name and let us know why you are interested in using your skills to do biomedical research in the The Deep Data Research Center Internship Program.

We look forward to hearing from you!

Apply now

Please include CV and cover letter.