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Entry Level R Python Sql Life Science Jobs (NOW HIRING)

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ... SQL (e.g. HIVE, PostgreSQL, MSSQL, etc.) and either Python or R for statistical application ...

Master's degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public ... Experience with SAS, R, Python, SQL * Surveillance pipeline development * Dashboarding tools (Power ...

Master's degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public ... Experience with SAS, R, Python, SQL * Surveillance pipeline development * Dashboarding tools (Power ...

... Science/MIS/IT. Skills Required: Python-Statistical Program Ming. Structured Query Language (SQL) Microsoft Excel. Data Visualization. Machine Learning. Tools Used: SQL, Teradata, Tableau, R, Python ...

Master's degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public ... Experience with SAS, R, Python, SQL * Surveillance pipeline development * Dashboarding tools (Power ...

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ... SQL (e.g. HIVE, PostgreSQL, MSSQL, etc.) and either Python or R for statistical application ...

data engineer (entry level)

Edison, NJ · On-site

$116K - $139K/yr

... Science/MIS/IT. Skills Required: Python-Statistical Programming. Structured Query Language (SQL) Data Visualization. Machine Learning. Tools Used: SQL, Teradata, Tableau, R, Python, SAS Start your ...

... science and reporting projects * Designs, validates, and evaluates solutions using R, Python, SQL ... Life insurance and accidental death & dismemberment insurance. Employee and Family Assistance ...

R, Python, SQL. * Experience using web services: Redshift, S3, Spark * Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis ...

Maintain databases using R, Python, and SQL in collaboration with members of the research team ... Bachelor's or Master's Degree in Statistics, Data Science, Computer Science, Mathematics ...

Bachelors or Masters in Computer Science/MIS/IT. Skills Required : * Python-Statistical Programming ... SQL, Teradata, Tableau, R, Python, SAS Contact Amit Bhandari Sr. Talent Acquisition Specialist ...

Experience with SAS, R, Python, SQL * Surveillance pipeline development * Dashboarding tools (Power ... Master's degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public ...

Maintain databases using R, Python, and SQL in collaboration with members of the research team ... Bachelor's or Master's Degree in Statistics, Data Science, Computer Science, Mathematics ...

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Entry Level R Python Sql Life Science information

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How much do entry level r python sql life science jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for entry level r python sql life science in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.
Decision Science Analyst - Space & Merchandising Analytics

Decision Science Analyst - Space & Merchandising Analytics

HEB

San Antonio, TX • On-site

$101K/yr

Full-time

Posted 20 days ago


Job description

Responsibilities
Job Summary: As a Decision Science Analyst, you'll extract, explore, validate, and cleanse data using advanced coding techniques. You'll design and apply analytical and statistical models to segment, describe, and understand our customers and their purchasing habits and proclivities. You'll serve as a strategic thought Partner, providing perspective and recommendations to solve business challenges.
Key Responsibilities & Essential Functions:
• Design & Development / Analytics:
  • Using coding techniques (predominately SQL and Python), aggregates billions of data records to measure customer behavior changes in multiple dimensions (e.g., customer count and value, frequency of purchase, average purchase size, ROI)
  • Mines / validates / cleanses data
  • Works across several data platforms (e.g., clickstream, web analytics, transactional data, unaggregated customer data)
  • Applies advanced analytical and statistical models to segment / understand our customer (e.g., k-means clustering, a/b testing)
  • Applies experience, knowledge, intuition to dig for insights to share through enterprise tools (e.g., Tableau, MicroStrategy)
  • Asks questions to identify deeper reasoning behind business questions
  • Translates / tests / connects data findings into actionable business insights
  • Provides customer insights and in-depth analytics on marketing initiatives (e.g., pre- / post-campaign)
  • Develops / deploys experiments and data science models to measure customer loyalty, habits, tendencies, affinities, and propensities to reliably predict behavior and prescribe initiatives, strategies, tactics
  • Provides ad hoc analysis upon request

• Advising:
  • Serves as a strategic thought Partner / team member of assigned team; provides perspective on business challenges
  • Serves as the data-expert in cross-functional groups to optimize H-E-B marketing investments and assortment decisions
  • Provides day-to-day broad visibility into customer learnings and impact through ongoing performance dashboards / metrics
  • Summarizes for / shares insights with business stakeholders, informally and in formal presentations
  • Aligns with executive-level stakeholders on prioritizing initiatives
  • Leads projects
  • Mentors / coaches

The responsibilities and essential functions outlined above describe the general nature and level of work assigned to this position. This is not an exhaustive list of all duties, responsibilities, and skills required. Duties and responsibilities may be modified at any time based on business needs. Employees may be required to perform other job-related tasks as requested by their supervisor, subject to reasonable accommodations.
Qualifications & Key Requirements:
Work Experience:
  • Expertise in business domain of relevant experience - preferably in retail / other consumer-facing industry
  • Experience in statistical programming languages (R - Python - SQL)
  • Experience in relational databases such as Teradata Oracle and big data platforms
  • Experience in data extraction, cleansing, validating and curating

Knowledge/Skills/Abilities:
  • Working knowledge of typical data science techniques (e.g., classification, regression, and optimization)
  • Strong working understanding of data exploration, applying analytical tools, and how to advise business stakeholders
  • Familiarity with big data ecosystems (Databricks, Spark, etc.), relational DBs, SQL, business intelligence and visualization tools (Tableau or MicroStrategy, etc.)
  • Strong research and analytical skills
  • Strong critical and lateral thinking skills
  • Verbal / written communication and presentation skills
  • Mentoring / coaching skills
  • Ability to lead projects
  • Ability to turn data into actionable recommendations (vs. just reporting data)
  • Ability to solve ambiguous, unstructured problems
  • Ability to present / explain deliverables to non-technical stakeholders
  • Ability to work within a cross-functional, team-driven structure

Education:
  • A related degree or comparable formal training, certification, or work experience

Physical Demands & Working Conditions:
  • Thrive in a fast-paced office environment with rapidly shifting market-driven priorities

The work environment characteristics described here are representative of those a Partner encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Last revised: 8/1/2021