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Data Scientist
Rancho BioSciences LLC San Francisco, CA
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$129k-159k (estimate)
Full Time 2 Days Ago
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Rancho BioSciences LLC is Hiring a Data Scientist Near San Francisco, CA

Job Description

Job Description

Rancho BioSciences is an international company offering data curation, data governance and models, bioinformatics analysis, workflows and pipelines, knowledge mining, target profiles, building databases with content, business analyst services to clients in pharmaceutical and biotech companies, foundations, government, and hospitals.

Rancho BioSciences is committed to its employees by offering an outstanding and fast paced work environment, which affords them every opportunity to thrive and grow both professionally and personally. We are hiring for the following remote position:

Data Scientist Role - Remote

Rancho BioSciences is seeking to fill a Data Scientist for Life Sciences position. An ideal candidate is a PhD scientist trained in the Life Sciences who acquired, through either formal training or experience, scripting and data science skills. An ideal candidate for this position will have a strong attention to detail, excellent problem-solving skills, superior communication skills, and the ability to work both independently and as part of a team.

In this role you will:

  • Interacts with an established group of data scientists, providing coding support for a variety of clinical and biomarker data integration projects
  • Builds and improves data wrangling and database deployment pipelines in R/Posit
  • Leverages data science tools and techniques in wrangling and analyzing large-scale biomarker data; develop custom scripts, functions, and data models to support downstream data users
  • Documents and communicates workflow design and implementation via version control systems (e.g. GitHub/GitLab)
  • Contributes with the team on technical decisions
  • Collaborates with client scientists to deploy automatable and easy-to-maintain solutions including templates, vignettes or package development solutions
  • Spearhead complex troubleshooting efforts in the biomarker integration space
  • Works directly with client to provide process documentation and presentations that are clearly articulated, engaging, and educational

Desired Experience:

  • 1-2 years of Data Science, Data Engineering, Bioinformatics, or equivalent experience
  • A proven track record of collaborative and independent contributions to genomic, biomarker, and clinical data projects
  • A working knowledge of modern data wrangling tools and best practice methods
  • Hands on experience in next generation sequencing technologies, workflows, visualization and analysis highly desirable
  • Experience coding in R/Posit
  • Experience with version control systems (GitHub/GitLab)
  • Experience with Snakemake or comparable workflow management system highly desirable
  • Thorough understanding of data science trends, techniques, and best practices
  • Understanding of data standards, semantics, terminologies, ontologies, and modern data governance techniques. Familiarity with the FAIR (Findable, Accessible, Interoperable, and Reusable) data guiding principles is a plus
  • Deep understanding of data wrangling principles and applications
  • Experience working independently to apply solutions and reporting back on activities to relevant client teams using written reports or presentations

Soft Skills:

  • Being able to lead a team of scientists
  • Exceptional communicator, at all levels
  • Detail-oriented and well organized, with an ability to work collaboratively/remotely

Education Requirements:

  • PhD in Computational Biology, Biology, Chemistry or a related field, or equivalent industry experience

Rancho BioSciences offers competitive salary and benefits package.

Job Summary

JOB TYPE

Full Time

SALARY

$129k-159k (estimate)

POST DATE

05/30/2024

EXPIRATION DATE

06/15/2024

WEBSITE

ranchobiosciences.com

HEADQUARTERS

San Diego, CA

SIZE

100 - 200

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The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.

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If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

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A data scientist develops software to structure the raw data.

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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.

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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

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Data scientists lay a solid foundation to help perform all kinds of analysis.

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Data scientists are also expected to have stronger software engineering skills that data analysts.

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Business analysts are focused on reporting, just like data analysts.

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A data scientist should understand the assumptions that need to be met for each statistical test.

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Step 3: View the best colleges and universities for Data Scientist.

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