Search for Bioinformatician roles in Stanford, CA, focusing on jobs in cancer research, with experience in machine learning and next-generation sequencing, looking for full-time positions.

Okay, I've searched for Bioinformatician roles in Stanford, CA, specifically in cancer research, requiring experience in machine learning and next-generation sequencing, and targeting full-time positions. I have found 45 suitable positions for you.

Bioinformatician

Stanford, CA

Cancer Research

Machine Learning

Next-Generation Sequencing

Full Time

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The role of Bioinformatician/Research Data Analyst 1 at Stanford University is fundamentally centered around managing and analyzing large datasets to derive insights from cutting-edge research in cancer immunotherapy. Given that the Kalbasi Lab operates at the intersection of multiple disciplines—ranging from genomics to protein engineering—the successful candidate must adeptly handle both bioinformatics and biostatistics, with a nuanced understanding of cancer biology and immunology. Key responsibilities include data collection, cleaning, visualization, and statistical analysis, all critical for supporting ongoing experiments and clinical trials. The expectation is not merely to process data, but to interpret it in ways that can drive innovative solutions, such as new protein designs using AI tools. Challenges include managing ambiguity inherent in research data, navigating interdisciplinary collaboration, and ensuring data integrity in high-stakes environments. Success will be measured through contributions to research outputs, collaboration with faculty, and the generation of actionable insights within the first year.

Company Analysis:

Stanford University, particularly through the Kalbasi Lab within the School of Medicine, represents a pinnacle of academic research in oncology, with a clear focus on innovation and rigorous scientific inquiry. As part of an NCI-designated Comprehensive Cancer Center, the lab thrives in an environment that is fast-paced and rich in resources, aimed at transformative cancer treatments. The culture prioritizes collaboration across disciplines, valuing open communication and proactive inquiry among team members. Given its position as a leading research institution, the expectations for this role are not just technical; they also encompass the ability to contribute meaningfully to high-impact research that may influence cancer therapy methodologies. Aligning with the university's mission, this position is strategically poised to support cutting-edge research initiatives, making it more than just a job—it’s an opportunity to be at the forefront of cancer research, significantly impacting patient care and treatment strategies.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to manage a complex dataset and how you ensured its accuracy and integrity.
Describe a challenging problem you faced while collaborating with researchers from different disciplines. How did you resolve it?
Can you provide an example of a project where you applied machine learning techniques to analyze genomic data?
How would you approach developing a statistical model for analyzing next-generation sequencing data?
What programming languages are you most comfortable with, and can you describe a project where you utilized them effectively?
Imagine you are presented with a dataset that has numerous anomalies. What steps would you take to identify and rectify these issues?
If you discovered that a colleague's analysis was flawed, how would you address this situation constructively?
Why are you interested in working specifically at Stanford’s Kalbasi Lab, and what draws you to the field of cancer immunotherapy?
What excites you about the potential for AI and machine learning in bioinformatics?
How do you see the integration of your work impacting the broader research initiatives within the Kalbasi Lab?
As an initial contributor, what steps would you take to establish yourself within the team and demonstrate your value?
Could you elaborate on your experiences with protein design and how you envision contributing to innovative strategies in this area?
If selected for this position, what key objectives would you aim to achieve within your first six months in the role?

Job Details

Overview Company

Bioinformatician/Research Data Analyst I

$82.5k/y-$106.3k/y

Lensa

11 days ago

Highlight

HybridFull-time2+ yearsMid

Summary

Stanford University is seeking a Bioinformatician/Research Data Analyst 1 to join the Kalbasi Lab in Stanford, CA. The role involves managing and analyzing high throughput next generation sequencing data and participating in protein design strategies using AI tools.

About the Role

As a Bioinformatician/Research Data Analyst 1, you will collect, manage, and clean datasets, employ tools to interpret and visualize data, create databases and reports, develop algorithms and statistical models, and perform statistical analyses. You will collaborate with faculty and research staff, provide documentation, and communicate with government officials and grant agencies.

About You

Required:

Bachelor's, MS, or PhD degree in Bioinformatics, Computational Biology, Computer Science, or a related field with two years of relevant experience.
Strong background in bioinformatics and biostatistics, including experience with next-generation sequencing data analysis.
Experience and comfort in working within a UNIX/Linux environment.
Background in programming languages such as Python, R, Matlab, Perl.
Good communication and team skills and fluency in both spoken and written English.

Preferred:

Experience with machine learning/AI tools and interest in protein design.
Background in oncology and/or immunology.
Knowledge of techniques for analyzing tumor purity and clonal heterogeneity.
Familiarity with predictive modeling and machine learning.
Skills in machine learning and data analysis software.

Benefits

Comprehensive benefits package including medical, dental, and vision coverage.
Pay range of $82k–$106k per annum.
Reasonable accommodation for employees with disabilities.

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Stanford, CA