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Hypothesis Jobs (NOW HIRING)

Insights Research Analyst

Los Angeles, CA ยท On-site

$50K - $65K/yr

About Hypothesis Hypothesis, part of the Elixirr Group, is a leading insights, strategy, and innovation consultancy. At Hypothesis, we blend insights, design, and strategy to help important brands do ...

Insights Research Analyst

Los Angeles, CA ยท On-site

$50K - $65K/yr

About Hypothesis Hypothesis, part of the Elixirr Group, is a leading insights, strategy, and innovation consultancy. At Hypothesis, we blend insights, design, and strategy to help important brands do ...

Intern - Transformation Office

Westlake, OH ยท On-site

$14 - $18.50/hr

Gather and synthesize data - internal and external - into clear, hypothesis-driven findings * Build executive-ready materials (decks, models, memos) using the Pyramid Principle * Support live ...

Senior Consultant

Los Angeles, CA ยท On-site

$90K - $110K/yr

At Hypothesis, we blend insights, design, and strategy to help important brands do amazing things. We work with the world's most dynamic, admired, and disruptive companies to answer their high-stakes ...

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Hypothesis information

See salary details

$37.5K

$122.7K

$196.5K

How much do hypothesis jobs pay per year?

As of Aug 18, 2026, the average yearly pay for hypothesis in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a hypothesis?

Hypothesis jobs typically refer to positions at Hypothesis, a company that develops open-source software for collaborative annotation of online documents. Employees at Hypothesis work on projects that enable users to highlight, comment on, and discuss digital content across the web. Roles at the company can include software engineering, product management, customer support, and community engagement. Working at Hypothesis often involves contributing to open-source projects and supporting educational and research communities.

What are some common challenges faced by researchers when developing hypotheses in a scientific research role?

Researchers often find it challenging to formulate clear, testable hypotheses due to complex or ambiguous data and the need to balance creativity with scientific rigor. It's essential to ensure that the hypothesis is specific enough to be measured and addresses a real gap in current knowledge. Additionally, collaboration with interdisciplinary teams can introduce varying perspectives, which, while valuable, may also lead to differing opinions on hypothesis direction. Staying updated with the latest literature and maintaining open communication with colleagues can help address these challenges effectively.

What are the key skills and qualifications needed to thrive as a hypothesis tester, and why are they important?

To thrive as a Hypothesis Tester, you need strong analytical skills, a solid background in statistics or data science, and usually a degree in a quantitative field. Familiarity with statistical software such as R, Python, or SPSS and experience designing experiments are essential. Attention to detail, critical thinking, and effective communication help you interpret results and explain findings to stakeholders. These skills are crucial to ensure accurate testing, credible results, and informed decision-making within research or business environments.

What is the difference between Hypothesis vs Data Analyst?

AspectHypothesisData Analyst
Required credentialsBasic understanding of research methods, statistical conceptsBachelor's degree in statistics, data science, or related field
Work environmentResearch projects, experimental design, testing hypothesesData collection, analysis, reporting across various industries
Employer and industry usageResearch institutions, labs, academic settingsBusinesses, tech companies, finance, healthcare
Common search and comparison intentUnderstanding role differences, career paths, skills neededJob responsibilities, qualifications, career growth

Hypothesis refers to a proposed explanation or prediction tested through research, often in scientific or academic contexts. A Data Analyst, on the other hand, collects, processes, and analyzes data to inform business decisions. While both roles involve data and analysis, Hypothesis is more about formulating and testing ideas, whereas Data Analysts focus on interpreting data to generate insights.

More about Hypothesis jobs

What states have the most Hypothesis jobs?

States with the most job openings for Hypothesis jobs include:

Infographic showing various Hypothesis job openings in the United States as of August 2026, with employment types broken down into 69% Full Time, 29% Part Time, and 2% Contract. Highlights an 58% Physical, 3% Hybrid, and 39% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Principal Scientist - Data Insights & Hypothesis Design

Tempus, Inc.

Chicago, IL โ€ข On-site

$150 - $225/hr

Other

Re-posted 20 hours ago


Job description

Principal Scientist โ€“ Data Insights & Hypothesis DesignSkip to main content# CareersPrincipal Scientist โ€“ Data Insights & Hypothesis Design page is loaded## Principal Scientist โ€“ Data Insights & Hypothesis DesignApplylocations: Chicago: Redwood City: New York City: Remote - California: Remote - New Yorktime type: Full timeposted on: Posted Yesterdayjob requisition id: JR202600696**Passionate about precision medicine and advancing the healthcare industry?**Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.## **Principal Scientist โ€“ Data Insights & Hypothesis Design**## Passionate about precision medicine and advancing the healthcare industry?## Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempusโ€™ proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.## **Position Overview**## As a Principal Scientist on the Data Insights and Hypothesis Design team, you will ensure the scientific coherence of Tempusโ€™ multimodal data platform while bridging the gap between complex molecular science and scalable data engineering.## ## This position requires strong computational, statistical, and translational research skills, alongside a deep interest in reproducible science and artificial intelligence. You will serve as a cornerstone for expanding our multi-modal applications beyond our foundational oncology roots, actively spearheading scientific efforts to support emerging, large-scale datasets in neurology (Alzheimer's disease) and Immunology & Inflammation (I&I).## ## **Role Focus & Scientific Impact**## In this position, you will act as a highly specialized subject matter expert, anchoring our data strategy with deep domain expertise across multiple therapeutic areas. Your impact will be driven by a balance of hands-on technical execution such as data prototyping and code creation and the strategic delegation of modular tasks to effectively scale projects. While you will work closely with cross-functional teams to support go-to-market strategies with rigorous scientific insights and validation, your primary focus will remain on scientific excellence, enablement, and data integrity.## ## **Key Responsibilities*** ## **Data Evaluation & Prototyping:** Conduct rigorous data evaluations, write technical code (SQL, R, Python), and prototype new data offerings within the Tempus Data Model (TDM). Deliver implementation-ready table and column specifications to seamlessly transition initial concepts into scalable, production-grade offerings.* ## **Client Alignment & Scientific Advisory:** Translate complex client research objectives across the drug discovery and development lifecycle into actionable clinico-genomic data strategies. Ensure seamless alignment between client hypotheses and Tempus capabilities, effectively matching the right datasets to their specific research needs and guiding how to best leverage them.* ## **Cross-Functional Subject Matter Expertise:** Serve as a core scientific authority across the organization. Evaluate datasets, perform User Acceptance Testing (UAT), and build data insight reports and capability demonstrations that empower various teams with scientifically validated evidence.* ## **Cross-Domain Data Oversight:** Support the continuous growth and scaling of Tempus' expanding clinical-genomic footprint across diverse disease domains, with an active focus on neurology and Immunology. Bring a holistic, cross-disciplinary view of human biology to profile and validate terabyte-scale datasets, leveraging a proven track record of scientific agility to seamlessly adapt, uncover novel biological patterns, and extract meaningful findings across varying disease areas.## **Qualifications*** ## **Education & Experience:** PhD in a quantitative, NGS-related discipline (e.g., Computational Biology, Genetics, Bioinformatics, Systems Biology) with 6+ years of industry experience across precision medicine, translational research, scientific product development, or related commercial and operational areas.* ## Domain Expertise: Deep expertise in at least one of oncology, neurology, or immunology. Additionally strong, demonstrable experience analyzing large-scale clinico-genomic datasets across multiple disease areas.* ## **Data Engineering & Scale Architecture:**Proven experience collaborating directly with data engineering and platform teams to build large-scale relational databases, design advanced SQL data models, and support the robust infrastructure needed to create and deploy massive, production-grade models.* ## Emerging AI & Foundational Modeling Knowledge: Active, up-to-date expertise with cutting-edge computational modeling, including experience leveraging foundation models, generative AI architectures, and agentic workflows to interpret and navigate complex biological data.* ## **Multi-Omic & NGS Modalities:** Deep expertise executing multi-omic analyses across a diverse spectrum of high-throughput sequencing applications and biotechnologies, including specialized NGS modalities such as single-cell sequencing, immunomics, metagenomics, and varied sequencing platforms.* ## Translational Impact: Proven experience bringing data to market and translating scientific analyses into production-grade data products or clinical-facing solutions.* ## **Programming:** Proficiency in Python and/or R for reproducible scientific analysis, workflow development, and data visualization.* ## **Strategic Leadership:**Strong cross-functional communication skills with the ability to architect end-to-end execution plans, manage client expectations, and mentor technical peers through structured delegation.CHI: $150,000-$200,000NYC/SF: $165,000-$225,000The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.Additionally, ***for remote roles open to individuals in unincorporated Los Angeles** โ€“ including remote roles-*Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr