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If you’ve searched “Biostatistician job description,” you’ve probably seen dozens of identical articles—bullet points, jargon, and generic wording that could apply to any role in the sciences. The problem? Those posts don’t actually help you attract a top-tier biostatistician—they just give you a checklist.
But hiring a biostatistician isn’t about checking boxes. It’s about finding someone who can turn complex data into insights that guide life-changing medical decisions, drug trials, and public health policies.
In this guide, we’re not just going to hand you a template—we’ll show you how to write a job description that gets noticed by the right candidates: the ones with the statistical expertise, scientific curiosity, and communication skills to make a real impact.
Before we dive in, if you haven’t already, I recommend reading our full guide on how to write a job post that attracts top talent , Link https://workscreen.io/how-to-write-a-job-post/ . It explains why generic posts fail, and how a few simple changes—clearer titles, transparent pay ranges, and a human tone—can help you connect with the very people you want to hire.
Build a winning team—without the hiring headache.
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What A Biostatistician Actually Does - Their Roles
A biostatistician is more than “the numbers person” on a research team. They design the studies that determine whether a new drug is safe, whether a treatment actually works, or how a disease is spreading through a population.
In plain English: a biostatistician takes raw medical and biological data, analyzes it using advanced statistical methods, and translates it into insights scientists, doctors, and policymakers can act on.
That means they don’t just crunch numbers in isolation—they collaborate with researchers, lab technicians, and project managers to make sure data is collected properly, analyzed accurately, and presented clearly.
The best biostatisticians combine:
- Statistical expertise to design sound studies and interpret results
- Domain knowledge in biology, medicine, or public health
- Communication skills to explain complex findings to non-technical audiences
- Integrity in handling sensitive or high-stakes data
In short: if you’re hiring a biostatistician, you’re looking for someone who can bridge the gap between data and real-world health decisions.
Two Great Biostatistician Job Description Templates
We’ll provide two tailored job description options:
1.✅ Option 1: For employers looking to hire an experienced candidates with prior experience.
2.Option 2: For employers open to hiring entry-level candidates or those willing to train someone with potential.
✅ Job Description For Experienced Biostatistician
📌 Job Title: Senior Biostatistician — Lead Clinical & Real-World Evidence Studies
💼 Location: Hybrid (Boston, MA HQ) or Remote (U.S.)
💰 Salary Range: $110,000–$140,000 + Annual Bonus
🕒 Schedule: Full-Time | Flexible Hours
🎥 A quick word from our hiring manager: (Insert Loom/YouTube link)
🌟 About Meridian Health Analytics
Meridian Health Analytics is a Boston-based health data studio that helps research hospitals, biotechs, and public health agencies make confident, evidence-based decisions. Our teams design trials, analyze complex datasets, and communicate results that shape care pathways. Recent projects include an oncology Phase II design optimization, vaccine safety signal detection using national surveillance data, and hospital readmission risk modeling for a multi-state network. We obsess over rigor, clarity, and impact.
💙 Our Culture
We work in small, senior-led pods; practice reproducible research (git-first, code review, literate analysis); and run a weekly Methods Club to pressure-test ideas. You’ll find high standards, low ego, and a genuine commitment to mentorship and work–life balance.
🛠️ What You’ll Be Doing
- Own statistical analysis plans for clinical trials and observational/RWE studies
- Lead modeling, inference, sensitivity analyses, and validation workflows
- Guide data management specs and collaborate on CRF/ETL decisions
- Translate results into clear narratives for clinicians and non-technical partners
- Mentor junior statisticians and review their code and analysis plans
✅ What We’re Looking For
- Master’s or Ph.D. in Biostatistics, Statistics, or related field
- 5+ years in clinical, pharma, CRO, or public health analytics settings
- Fluency in R (tidyverse) and/or SAS; working knowledge of Python a plus
- Strong communication skills and experience presenting to cross-functional teams
- Track record of rigor, integrity, and collaborative problem-solving
🏆 Perks & Benefits
- Medical, dental, vision + HSA/FSA options
- 401(k) with company match
- 20+ days PTO + 10 company holidays + winter recharge day
- Annual learning budget (conferences, courses, books)
- Remote setup stipend + replacement cycle for gear
- Paid parental leave and flexible return-to-work options
- Commuter benefits (for Boston HQ) and quarterly team offsites
🌱 Why This Role Is a Great Fit
- Impact: Your work informs trial design and patient care decisions
- Autonomy: Lead end-to-end analyses in small, empowered pods
- Growth: Shape methods strategy and mentor the next generation
- Modern stack: R/Python/SAS, Git, Quarto/RMarkdown, secure cloud workflows
📥 How to Apply
Apply via our WorkScreen link to complete a brief, job-relevant skills evaluation (≈30 minutes). We review every application and respond within two weeks.
👉 (Insert WorkScreen link)
✅ Job Description For Entry-Level Biostatistician — Willing-to-Train Template
📌 Job Title: Junior Biostatistician — Rotational Early-Career Program
💼 Location: Remote (U.S.) or On-Site (Boston, MA)
💰 Salary Range: $65,000–$85,000 + Full Benefits
🕒 Schedule: Full-Time | Flexible Hours
🎥 A quick word from your future mentor: (Insert Loom/YouTube link)
🌟 About Meridian Health Analytics
Meridian Health Analytics partners with academic medical centers, biotech startups, and public health teams to turn raw health data into decisions that matter. Our Early-Career Biostats Program rotates you across clinical trials, real-world evidence, and public health analytics so you build breadth, then depth. Expect a 90-day ramp plan, a dedicated mentor, and real projects from month one.
💙 Our Culture
We hire for potential and coach for mastery. You’ll get structured feedback, pairing sessions, and access to our Methods Club and internal workshops. Curiosity, kindness, and craftsmanship are non-negotiables.
🛠️ What You’ll Be Doing
- Support statistical analysis plans and protocol reviews
- Clean and prepare datasets; implement QC checks and documentation
- Run supervised models and contribute to interpretation slides/write-ups
- Join client/researcher meetings to understand context and communicate results
- Contribute to internal toolkits (functions, templates, SOPs)
✅ What We’re Looking For
- Bachelor’s or Master’s in Statistics, Biostatistics, Data Science, or related field
- Coursework or projects in regression, experimental design, inference
- Familiarity with R or SAS (academic/self-taught both welcome)
- Detail-oriented, coachable, and eager to learn in a production environment
- Clear written communication and a bias for tidy, reproducible code
🏆 Perks & Benefits
- Medical, dental, vision + mental health support resources
- 401(k) with company match
- 18 days PTO + 10 company holidays + volunteer day
- Paid training time + exam/certification reimbursement
- Annual learning stipend (courses, conferences, textbooks)
- Remote setup stipend + refreshed equipment on schedule
- Paid parental leave and flexible scheduling for studies/caregiving
🌱 Why This Role Is a Great Fit
- Learn by doing: Real projects with supervision from day one
- Structured growth: 90-day ramp, defined competencies, quarterly reviews
- Mentorship: Dedicated mentor + code reviews + pairing sessions
- Variety: Rotations across trials, RWE, and public health analytics
📥 How to Apply
Apply via our WorkScreen link to complete a short, practical evaluation focused on how you think—not just your résumé. Every applicant receives a response within two weeks.
👉 (Insert WorkScreen link)
Smart Hiring Starts Here
WorkScreen simplifies the hiring process, helping you quickly identify top talent while eliminating low-quality applications. By saving you countless hours and reducing the risk of bad hires, it empowers you to build a team that delivers results
Breakdown of Why These Biostatistician Job Posts Work
1. Clear, Specific Titles
Both posts go beyond just “Biostatistician” — the experienced role specifies “Senior Biostatistician — Lead Clinical & Real-World Evidence Studies” while the entry-level role highlights “Junior Biostatistician — Rotational Early-Career Program.”
- These titles instantly tell candidates the level, focus, and value proposition of the role.
- Adding descriptors (“Lead Clinical & RWE Studies” / “Rotational Early-Career Program”) makes them searchable and appealing to the right audience.
2. Warm, Context-Rich Intros
Instead of generic “Company X is hiring…” intros, both roles open with a video link from the hiring manager or mentor and an About Us section that paints a clear, human picture of the company’s work.
- This instantly humanizes the process.
- Video adds trust and gives candidates a sense of team culture before they apply.
3. Transparent Salary & Perks
Salary ranges are listed up-front, with perks and benefits separated from the “Why This Role Is a Great Fit” section.
- Transparency builds trust and weeds out mismatched expectations early.
- Perks are role-specific: senior candidates see leadership autonomy and high-impact work; junior candidates see mentorship and structured growth opportunities.
4. Respectful, Modern Application Process
Both postings explain the application process clearly:
- Short, role-relevant WorkScreen evaluation
- Guaranteed response within two weeks
- No “ghosting” — setting expectations reduces anxiety and increases candidate engagement.
5. Human Tone That Connects
Phrases like “Curiosity, kindness, and craftsmanship are non-negotiables” and “Shape methods strategy and mentor the next generation” speak directly to the candidate’s sense of purpose, not just their skill set.
- Avoiding jargon-heavy corporate language makes the roles feel more approachable and genuine.
6. Strong “Why This Role Is a Great Fit” Sections
Instead of a vague “Why you’ll love working here,” the section spells out specific motivators:
- For senior roles: autonomy, impact, and shaping methods strategy.
- For junior roles: mentorship, variety, and structured growth.
This ensures candidates can quickly self-assess fit.
7. Role-Specific Detail Without Overload
Responsibilities are clear and concrete (e.g., “Run supervised models and contribute to interpretation slides” vs. generic “Analyze data”).
- This clarity attracts qualified candidates while still allowing room for learning in the junior version.
Example of a Bad Biostatistician Job Description (And Why It Fails)
❌ Bad Job Post Example
📌 Job Title: Biostatistician
💼 Location: Boston, MA
💰 Salary: Not Disclosed
🕒 Schedule: Full-Time
About the Company
We are a leading organization in the healthcare sector and are currently looking to hire a Biostatistician to join our team.
Key Responsibilities
- Analyze datasets from clinical trials and other projects.
- Prepare reports and documentation.
- Support statistical activities as required.
Requirements
- Master’s degree in Biostatistics or related field.
- Proficiency in statistical software.
- Good communication skills.
How to Apply
Send your CV and cover letter to hr@company.com. Only shortlisted candidates will be contacted.
❌ Why This Job Post Falls Short
- Generic Job Title
- Simply saying “Biostatistician” without context, level, or focus makes it unsearchable and uninspiring.
- Simply saying “Biostatistician” without context, level, or focus makes it unsearchable and uninspiring.
- No Mission or Context
- The “About the Company” is vague (“leading organization in the healthcare sector”) and gives no sense of what the company actually does or why the work matters.
- The “About the Company” is vague (“leading organization in the healthcare sector”) and gives no sense of what the company actually does or why the work matters.
- No Salary or Benefits Listed
- Hiding pay information is outdated and discourages top candidates who value transparency.
- Hiding pay information is outdated and discourages top candidates who value transparency.
- Bland Responsibilities
- “Analyze datasets” is too broad and could describe a hundred different roles. There’s no insight into the scope or impact of the work.
- “Analyze datasets” is too broad and could describe a hundred different roles. There’s no insight into the scope or impact of the work.
- No Culture or Values Mentioned
- Candidates have no idea what kind of team they’d be joining or whether they’d fit in.
- Candidates have no idea what kind of team they’d be joining or whether they’d fit in.
- Cold Application Process
- “Only shortlisted candidates will be contacted” feels dismissive. There’s no mention of timelines, next steps, or how applicants will be treated.
- “Only shortlisted candidates will be contacted” feels dismissive. There’s no mention of timelines, next steps, or how applicants will be treated.
- Zero Personality in the CTA
The call-to-action is lifeless and transactional, with no sense of excitement or opportunity.
Bonus Tips to Make Your Biostatistician Job Post Stand Out
Even with a strong structure, there are a few extra details you can add that instantly make your posting more attractive and trustworthy—especially in a competitive, specialized field like biostatistics.
1. Add an IMPORTANT NOTICE to Build Trust
Reassure candidates about the integrity of your hiring process.
“We take the security and privacy of all applicants very seriously. We will never ask for payment, bank details, or personal financial information at any stage of the hiring process.”
Why it works: Top candidates—especially those in technical or regulated industries—are wary of scams. This small line shows professionalism and transparency.
2. Highlight Paid Time Off & Flex Days
Biostatisticians often work on high-stakes, deadline-driven projects. Demonstrating a commitment to work-life balance is a major plus.
“Enjoy up to 22 PTO days, 10 company holidays, and 1 volunteer day per year. We also offer a winter recharge break between Christmas and New Year.”
Why it works: Flexibility signals trust and respect, which are attractive to analytical professionals.
3. Showcase Training & Professional Development
This role is deeply technical, and strong candidates value environments where they can sharpen their skills.
“We invest in your growth with an annual learning stipend, conference attendance opportunities, and dedicated time each quarter for continuing education.”
Why it works: Lifelong learners gravitate toward companies that actively support professional development.
4. Include a Short Loom Video from the Hiring Manager
A warm, 60-second video greeting from the hiring manager or lead statistician makes your posting stand out.
Suggested talking points: Welcome message, brief intro to the team’s mission, what excites them about the role, and one fun fact about the company culture.
Why it works: It humanizes the process and lets candidates “meet” the team before applying, building early rapport.
Here is an example that we used in our master guide on how to write a great job post description , you can check it out here https://www.loom.com/share/ba401b65b7f943b68a91fc6b04a62ad4
5. Mention Tools, Methods, and Work Environment
Many biostatisticians want to know the tech stack and approach before they apply.
“We work in R, SAS, and Python, with version control via Git and reproducible reporting using Quarto. We follow a collaborative code-review process and maintain a central library of validated functions.”
Why it works: Specifics show preparedness and professionalism while attracting candidates comfortable with your setup.
Should You Use AI to Write Job Descriptions?
It’s tempting to ask ChatGPT or another AI tool, “Write me a Biostatistician job description” and copy whatever comes out. But here’s the problem—when you use AI without giving it the right context, you’ll almost always get something generic, lifeless, and forgettable.
Why Blind AI Use Doesn’t Work
- It strips out your culture. You’ll get a sterile, one-size-fits-all job post that could be for any company in any industry.
- It fails to attract the right talent. You’ll draw in “any job will do” applicants instead of mission-aligned, technically skilled candidates.
- It hurts your brand. Your job post is often a candidate’s first impression of you—bland copy signals a bland workplace.
The Right Way to Use AI
Think of AI as an editor and shaper, not the originator. Feed it high-quality, role-specific ingredients so it can polish and organize your message. For example, you might give AI:
- Your company’s mission:g., “Meridian Health Analytics helps research hospitals and biotechs turn health data into better patient outcomes.”
- The role’s core impact:g., “This role will design and execute statistical analysis plans for oncology and vaccine studies.”
- Your tone and values:g., “High standards, low ego, collaborative culture, committed to mentorship.”
- Key responsibilities: (real-world, role-specific tasks)
- Your benefits and salary range: so candidates see transparency upfront
- Your application process: to show respect for their time
Example Prompt for AI
“Help me write a Biostatistician job post for Meridian Health Analytics. We’re hiring a Senior Biostatistician to design and execute statistical analysis plans for oncology and vaccine studies. Our culture is collaborative, curious, and rigorous. We want to attract candidates who are detail-oriented, integrity-driven, and passionate about improving health outcomes. We offer $110k–$140k salary, 401(k) match, 20+ PTO days, and professional development stipends. The hiring process includes a 30-minute skills evaluation and guaranteed feedback within two weeks. Use a warm, approachable tone but maintain professionalism. Here are my notes on the role: [paste your bullet points here].”
By working this way, AI becomes your assistant—not your voice—ensuring the final post feels like you and resonates with the right candidates.
Don’t let bad hires slow you down.
WorkScreen helps you identify the right people—fast, easy, and stress-free.
Quick Copy-Paste Biostatistician Job Descriptions
We get it—sometimes you just need something fast. If you’ve read this guide, you already know what a strong job post looks like. But you might also want a solid starting point you can tailor to your company in just a few minutes.
That’s what these are.
✏️ Important Reminder:
Don’t copy this word-for-word and expect magic.
This is a foundation, not a final draft.
Add a Loom video, inject your team culture, and edit the details to reflect your actual company.
In this section, you’ll find two ready-to-use job description templates for quick copy-paste use — but please remember, like we mentioned above, don’t just copy them word-for-word and expect results.
Think of these as starting points, not final drafts.
- Option 1: A more conversational, culture-first job description that highlights personality and team fit.
- Option 2: A more structured format, including a Job Brief, Responsibilities, and Requirements for a traditional approach.
✅ Option 1: Conversational, Culture-First Style (Senior)
📌 Job Title: Senior Biostatistician — Turning Health Data into Life-Saving Insights
💼 Location: [Location or Remote]
💰 Salary: [Salary Range] + [Bonus/Equity if applicable]
🕒 Schedule: [Full-Time/Part-Time] | [Hours or Flexible]
🎥 A quick word from our hiring manager: [Loom/YouTube link]
🌟 Who We Are
At [Company Name], we help research teams, life-sciences orgs, and public-health programs turn complex datasets into decisions that improve patient outcomes. We design robust studies, analyze real-world and clinical data, and communicate findings clearly so teams can act with confidence.
💙 Our Culture
Small teams, high standards, low ego. We value curiosity, craftsmanship, and clear communication. Mentorship is part of the job, and work–life balance is built into how we plan projects.
🛠️ What You’ll Be Doing
- Lead statistical design and analysis for clinical and real-world evidence studies
- Translate findings into clear narratives for technical and non-technical audiences
- Collaborate with cross-functional partners to ensure sound methodology
- Mentor junior team members on best practices and reproducible workflows
✅ What We’re Looking For
- Master’s or Ph.D. in Biostatistics/Statistics (or related field)
- 5+ years of biostatistical experience in healthcare, pharma, CRO, or public health
- Proficiency in R, SAS, or Python
- Strong communication skills and a collaborative mindset
🏆 Perks & Benefits
- Comprehensive medical, dental, vision
- 401(k) with match
- days PTO + [Y] holidays + [Optional: winter recharge/volunteer day]
- Annual learning stipend (courses, conferences, books)
- Remote work stipend + refreshed equipment on schedule
- Paid parental leave + flexible scheduling
🌱 Why This Role Is a Great Fit
Own meaningful work, not busywork. You’ll shape analyses that influence care decisions, work with supportive peers who love clean methods and clear writing, and have room to lead and grow.
📥 How to Apply
Apply via our WorkScreen link to complete a brief, job-relevant skills evaluation. Every applicant receives a response within two weeks.
👉 [WorkScreen Link]
✅ Option 2: Structured “Job Brief + Responsibilities + Requirements” (Junior)
📌 Job Title: Junior Biostatistician
💼 Location: [Location or Remote]
💰 Salary: [Salary Range] + [Benefits Summary]
🕒 Schedule: [Full-Time/Part-Time] | [Hours]
Job Brief
[Company Name] is seeking an early-career Biostatistician to support clinical research, epidemiology, and real-world evidence projects. You’ll contribute to study design, data preparation, analysis, and reporting that guide high-stakes healthcare decisions.
Responsibilities
- Assist in developing statistical analysis plans
- Clean and prepare datasets; implement QC checks
- Run supervised models and contribute to tables/figures/reports
- Join project meetings to provide statistical input and context
Requirements
- Bachelor’s or Master’s in Statistics/Biostatistics/Data Science (or related field)
- Familiarity with R, SAS, or Python (academic or self-taught welcome)
- Attention to detail; organized and deadline-aware
- Clear written communication and collaborative approach
Perks & Benefits
- Medical, dental, vision + mental-health resources
- 401(k) with match
- days PTO + [Y] holidays + [Optional: volunteer day]
- Paid training time + certification/exam reimbursement
- Remote setup stipend + refreshed equipment on schedule
How to Apply
Submit your application via our WorkScreen link. Every candidate receives feedback within two weeks.
👉 [WorkScreen Link]
Let WorkScreen.io Handle the Next Step of Hiring
Once you’ve crafted a great job description, the next challenge is making sure the right people rise to the top of your applicant pool. That’s where WorkScreen.io comes in.
WorkScreen helps you:
- Quickly identify your most promising candidates
WorkScreen automatically evaluates, scores, and ranks applicants on a performance-based leaderboard—making it easy to spot top talent, save time, and make smarter, data-driven hiring decisions.
- Easily administer one-click skill tests
With WorkScreen, you can administer one-click skill tests to assess candidates based on real-world ability—not just credentials like résumés and past experience. This helps you hire more confidently and holistically.
- Eliminate low-effort applicants
WorkScreen automatically eliminates low-effort applicants who use AI Tools to apply, copy-paste answers, or rely on “one-click apply.” This way, you focus only on genuine, committed, and high-quality candidates—helping you avoid costly hiring mistakes.
With WorkScreen, you can move from “posting the role” to “hiring the right person” faster—without drowning in résumés or wasting hours on unqualified interviews.
Sign up with WorkScreen.io
Create your posting, and start evaluating applicants the smart way.
Frequently Asked Questions - Biostatistician Job Description
While both roles work with data and statistical methods, statisticians can operate in many industries—from finance to manufacturing—applying general statistical principles. Biostatisticians, on the other hand, specialize in applying statistics to health, medicine, biology, and public health research. They design and analyze clinical trials, epidemiological studies, and laboratory experiments where the focus is on improving health outcomes.
Beyond strong statistical knowledge, an effective biostatistician typically has:
- Expertise in statistical software such as R, SAS, or Python
- Solid grasp of experimental design and data interpretation
- Knowledge of regulatory guidelines for clinical trials and health research
- Strong communication skills to translate complex findings for non-technical stakeholders
- Collaboration skills for working alongside researchers, clinicians, and policy teams
- Commitment to integrity and data accuracy in high-stakes research
The salary for a biostatistician can vary depending on experience, location, and industry. In the U.S., entry-level roles often start between $65,000–$85,000 annually, while experienced professionals, especially in pharma or biotech, can earn $100,000–$140,000+. Senior or specialized roles may exceed this range, particularly in competitive markets.
