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From Home Python Bioinformatics Jobs in Minnesota

Python Tutor

Edina, MN · Remote

$40/hr

... online Python tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

... online Python tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

... online Python tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects ...

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From Home Python Bioinformatics information

What are the key skills and qualifications needed to thrive as a From Home Python Bioinformatics professional, and why are they important?

To thrive as a From Home Python Bioinformatics professional, you need strong programming skills in Python, a solid background in biology or bioinformatics, and at least a bachelor's degree in a related field. Familiarity with bioinformatics tools (such as Biopython, BLAST, and genome analysis platforms), version control systems like Git, and relevant data analysis libraries is crucial. Excellent problem-solving abilities, attention to detail, and self-motivation are essential soft skills for managing complex projects independently. These competencies enable effective analysis of biological data, accurate interpretation of results, and efficient collaboration in remote or distributed research environments.

How do remote Python bioinformaticians typically collaborate with research teams and manage project communication?

Remote Python bioinformaticians often work closely with cross-functional teams, including biologists, data scientists, and clinicians, using digital collaboration tools like Slack, Zoom, and project management platforms to maintain clear communication. Regular virtual meetings and code-sharing via platforms like GitHub help ensure alignment on project goals and data analysis methods. Effective documentation and timely updates are essential for overcoming the challenges of remote teamwork, especially when projects involve large datasets or complex pipelines. Building strong communication habits and proactively seeking feedback are key to succeeding in this remote, collaborative environment.

What is a From Home Python Bioinformatics job?

A From Home Python Bioinformatics job involves working remotely to analyze and interpret biological data using Python programming. Professionals in this role apply computational techniques to solve problems in genomics, proteomics, and other areas of biology. They often write scripts or develop software to process large datasets, automate workflows, and visualize results for scientific research. These jobs typically require knowledge of both biology and computer science, as well as experience with relevant bioinformatics tools and libraries. Remote positions allow for flexible work arrangements, making it possible to collaborate with research teams from anywhere.

How much does Pfizer pay bioinformatics?

Bioinformatics roles at Pfizer typically offer salaries ranging from $80,000 to $130,000 annually, depending on experience, education, and location. These positions often require skills in Python, data analysis, and bioinformatics tools, with some roles offering additional benefits such as flexible schedules and professional development opportunities.

What is the difference between From Home Python Bioinformatics vs From Home Data Scientist?

AspectFrom Home Python BioinformaticsFrom Home Data Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fields; Python programming skillsBachelor's or Master's in Data Science, Computer Science, or related fields; Python and statistical skills
Work EnvironmentRemote, often in research labs, biotech companies, or academic settingsRemote, in tech companies, finance, healthcare, or consulting firms
Industry UsageBiotech, healthcare, academic researchTechnology, finance, marketing, healthcare

From Home Python Bioinformatics and From Home Data Scientist roles share common skills like Python programming and remote work settings. However, bioinformatics focuses on biological data analysis, while data science covers a broader range of industries and data types. Your choice depends on your industry interest and specific skill set.

What are popular job titles related to From Home Python Bioinformatics jobs in Minnesota? For From Home Python Bioinformatics jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching From Home Python Bioinformatics jobs in Minnesota look for? The top searched job categories for From Home Python Bioinformatics jobs in Minnesota are:
What cities in Minnesota are hiring for From Home Python Bioinformatics jobs? Cities in Minnesota with the most From Home Python Bioinformatics job openings:
Post-Doctoral Associate - Bioinformatics & Computational Biology

Post-Doctoral Associate - Bioinformatics & Computational Biology

University of Minnesota

Minneapolis, MN

$62.23K - $75.56K/yr

Full-time

Medical, Dental, Life

Posted 23 days ago


Job description

About the Job
 

Required Qualifications:
A PhD degree in related field (Bioinformatics, Computer Science, Statistics, etc.) obtained in the last 1~2 years.
Strong quantitative data analysis background (machine learning, biostatistics, etc.) and/or computational genomics/genetics experiences (spatial transcriptomics, single-cell sequencing, high-throughput omics sequencing data analysis, TWAS/GWAS, etc.) or other relevant areas.
Strong programming skills: (e.g., R, Python, and Unix Shell).
Quick learning capability for new technologies and analytical methods
Strong communication and interpersonal skills and a track record of collaborative work in multidisciplinary research environment.
Job description:
Zhus lab is a dry lab. The research interests are mainly focused on the novel computational methodology design and integrative multi-modality data analysis to (1) enhance the spatial profiling technology and (2) screen the pathogenic upstream regulator.
Responsibilities:
Develop novel computational methods to enhance the power of spatial-omics technology.
Develop novel computational methods to advance understanding of the complex genetic diseases, e.g., fatty liver disease, diabetes, etc.
Conduct rigorous and reproducible integrative multi-modality data analysis (generated from spatially resolved sequencing, single-cell sequencing, long-read and short-read bulk sequencing, etc.) to shed lights on the coordinated biological regulatory mechanism from different omics layers.
Publish high-impact factor papers and give presentations of novel research findings in academic journals and conferences.
Manage and maintain software/database for long-standing user support.

Pay and Benefits
 

Pay Range: $62,232 - 75,564 (follows NIH stipend levels); depending on education/qualifications/experience

Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility.

  • Competitive wages, paid holidays, and generous time off
  • Continuous learning opportunities through professional training
  • Medical, dental, and pharmacy plans
  • Healthcare and dependent care flexible spending accounts
  • University HSA contributions
  • Disability and life insurance
  • Employee wellbeing program
  • Financial counseling services
  • Employee Assistance Program with eight sessions of counseling at no cost
How To Apply
 

Applications must be submitted online.  To be considered for this position, please click the Apply button and follow the instructions.  You will be given the opportunity to complete an online application for the position and attach (all three required) -

  • cover letter
  • CV
  • the name and contact information for three professional references

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-UOHR (8647).

Diversity
 

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission.  The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression.  To learn more about diversity at the U:  http://diversity.umn.edu

Employment Requirements
 

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

About University of Minnesota
 

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of Americas Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).