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Biological Data Science Internship Jobs in Thousand Oaks, CA

... science, computational biology, bioengineering, or a related field, with relevant postgraduate experience. Technical & Scientific Expertise * Deep handson experience with singlecell RNAseq data ...

... science, computational biology, bioengineering, or a related field, with relevant postgraduate experience. Technical & Scientific Expertise Deep handson experience with singlecell RNAseq data ...

... science, computational biology, bioengineering, or a related field, with relevant postgraduate experience. Technical & Scientific Expertise * Deep handson experience with singlecell RNAseq data ...

... science, computational biology, bioengineering, or a related field, with relevant postgraduate experience. Technical & Scientific Expertise Deep handson experience with singlecell RNAseq data ...

The XYPRO Internship Program provides motivated students an opportunity to gain first-hand ... Data Science * Financial Analysis * Technical Writing Contact us if you are a student interested in ...

Internship

Simi Valley, CA ยท On-site

$20 - $30/hr

The XYPRO Internship Program provides motivated students an opportunity to gain first-hand ... Data Science * Financial Analysis * Technical Writing Contact us if you are a student interested in ...

The XYPRO Internship Program provides motivated students an opportunity to gain first-hand ... Data Science * Financial Analysis * Technical Writing Contact us if you are a student interested in ...

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Biological Data Science Internship information

See Thousand Oaks, CA salary details

$9

$18

$25

How much do biological data science internship jobs pay per hour?

As of May 28, 2026, the average hourly pay for biological data science internship in Thousand Oaks, CA is $18.19, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $20.19 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Biological Data Science Intern, and why are they important?

To thrive as a Biological Data Science Intern, you need a solid background in biology, statistics, and programming, often supported by coursework or a degree in bioinformatics or a related field. Familiarity with tools like Python, R, and data analysis platforms, as well as experience with genomic databases and visualization software, is typically expected. Strong problem-solving, attention to detail, and teamwork skills help interns excel in collaborative research environments. These abilities enable accurate analysis of complex biological data and contribute to meaningful scientific discoveries.

What types of projects do interns typically work on during a Biological Data Science Internship?

Biological Data Science interns often work on projects involving the analysis of large biological datasets, such as genomic, proteomic, or clinical data. Typical tasks may include cleaning and preprocessing data, developing statistical models, and visualizing complex biological patterns. Interns frequently collaborate with both data scientists and biologists, gaining exposure to interdisciplinary teamwork and real-world research challenges. This hands-on experience helps interns build both their technical and scientific communication skills, making it a valuable stepping stone for careers in bioinformatics, computational biology, or related fields.

What is a Biological Data Science Internship?

A Biological Data Science Internship is a temporary position for students or recent graduates to gain practical experience working at the intersection of biology and data science. Interns typically analyze biological datasets using computational tools, statistical methods, and programming languages such as Python or R. They may work on projects involving genomics, bioinformatics, drug discovery, or ecological modeling. The internship helps individuals develop both technical and domain-specific skills, preparing them for future careers in research, biotechnology, or academia.

What is the difference between Biological Data Science Internship vs Biological Data Analyst?

AspectBiological Data Science InternshipBiological Data Analyst
Required CredentialsUndergraduate or graduate student in biology, data science, or related fieldBachelor's or master's in biology, data science, or related field; sometimes requires experience
Work EnvironmentResearch labs, biotech companies, academic institutions, often temporary or project-basedCorporate or research settings, ongoing role with regular hours
Employer & Industry UsageInternships offered by biotech firms, research institutions, universitiesFull-time roles in biotech, pharmaceuticals, research organizations

The Biological Data Science Internship is typically a temporary, entry-level position aimed at students gaining practical experience, whereas a Biological Data Analyst is a full-time role requiring more experience and responsibility. Internships focus on learning and skill development, while analysts handle ongoing data analysis tasks in professional settings.

What are popular job titles related to Biological Data Science Internship jobs in Thousand Oaks, CA? For Biological Data Science Internship jobs in Thousand Oaks, CA, the most frequently searched job titles are:
What job categories do people searching Biological Data Science Internship jobs in Thousand Oaks, CA look for? The top searched job categories for Biological Data Science Internship jobs in Thousand Oaks, CA are:
What cities near Thousand Oaks, CA are hiring for Biological Data Science Internship jobs? Cities near Thousand Oaks, CA with the most Biological Data Science Internship job openings:
Infographic showing various Biological Data Science Internship job openings in Thousand Oaks, CA as of May 2026, with employment types broken down into 3% As Needed, 48% Full Time, 46% Part Time, and 3% Contract. Highlights an 97% Physical, and 3% Hybrid job distribution, with an average salary of $37,829 per year, or $18.2 per hour.

Senior Scientist - siRNA Off-Target Analysis

Amgen, Inc.

Thousand Oaks, CA โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago


Job description

Career Category
Scientific
Job Description
Join Amgen's Mission of Serving Patients
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions.
As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Senior Scientist - siRNA Off-Target Analysis (TSRS)
What you will do
Let's do this. Let's change the world. In this vital role you will apply expertise in transcriptomics, computational biology, data visualization, and mechanistic interpretation to design and execute off-target assessments for siRNA experiments, and deliver weight-of-evidence reports and regulatory draft reports. You will operate with a high degree of scientific independence and will contribute to scalable analysis pipelines (e.g. siRNA off-target assessments), FAIR data practices, and AI-enabled analytical workflows.
You will also contribute to data stewardship and modern computational capabilities that improve the efficiency, rigor, and reproducibility of workflows and nonclinical safety data and assessments.
Key Responsibilities:
  • Building, running, and improving scalable end-to-end computational transcriptomics assessment workflows (e.g., siRNA off-target assessment), from study intake through deliverables
  • Applying transcriptomics, proteomics, biology, and fit-for-purpose statistics to identify, interpret, and clearly communicate signals and potential risk, in collaboration with TSRS Project Team Representatives
  • Producing rigorous, traceable weight-of-evidence outputs (e.g., slide decks, technical summaries, and reports for regulatory submissions
  • Developing and maintaining reusable computational tools and scripts in Python and R to support analysis, visualization, automation, and reporting
  • Partnering closely with toxicologists, data scientists, in vitro scientists, oligonucleotide scientists, and cross-functional teams to refine analytical approaches and translate results into actionable biological insights
  • Enabling reliable FAIR-aligned data/metadata flow and reproducible execution across workflows into the enterprise data fabric
  • Evaluating and, where appropriate, applying AI-enabled approaches (including LLM-assisted or agentic tools) to improve analytical efficiency, consistency, and knowledge capture

What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a Senior Scientist with these qualifications.
Basic Qualifications:
Doctorate degree PhD
OR
PharmD
OR
MD
OR
Master's degree and 3 years of experience in computational biology, bioinformatics, data science, or related discipline
OR
Bachelor's degree and 5 years of experience in computational biology, bioinformatics, data science, or related discipline
Preferred Qualifications:
  • Experience supporting off-target analysis, risk assessment, or mechanistic interpretation for oligonucleotide, siRNA, or related therapeutic modalities
  • Strong background in computational biology and transcriptomic data analysis in a research or drug discovery environment
  • Demonstrated expertise in the analysis and interpretation of bulk RNA-seq data
  • Experience with single-cell RNA-seq and proteomics analysis and interpretation
  • Strong understanding of molecular and cellular biology, with the ability to translate transcriptomic findings into biologically meaningful insights
  • Experience working with nonclinical safety data and familiarity with the role of toxicology in drug-development
  • Strong programming expertise in Python and R, with experience developing reproducible computational workflows and analysis pipelines
  • Experience applying basic statistical methods to biological datasets for analysis, interpretation, and decision support
  • Experience preparing clear scientific reports and presentations for cross-functional teams and drafting regulatory documents
  • Experience managing analytical data flow and implementing FAIR data principles and reproducible research practices
  • Ability to work independently, manage multiple priorities, and contribute effectively in a cross-functional team environment
  • Excellent communication and presentation skills, with the ability to convey complex computational and biological concepts to diverse audiences
  • Experience evaluating or developing AI-enabled scientific workflows, including LLM-assisted analyses or agentic tools

What you can expect from us
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.
In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:
  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.

Apply now and make a lasting impact with the Amgen team.
careers.amgen.com
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Application deadline
Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.
Sponsorship
Sponsorship for this role is not guaranteed.
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
Salary Range
129,228.90USD -174,839.10 USD