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Senior Clinical Analyst

Ro is a direct-to-patient healthcare company with a mission of helping patients achieve their health goals by delivering the easiest, most effective care possible. Ro is the only company to offer nationwide telehealth, labs, and pharmacy services. This is enabled by Ro's vertically integrated platform that helps patients achieve their goals through a convenient, end-to-end healthcare experience spanning from diagnosis, to delivery of medication, to ongoing care. Since 2017, Ro has helped millions of patients in nearly every single county in the United States, including 98% of primary care deserts.


The healthcare system today is not designed to help patients achieve their goals. It’s designed around institutions such as hospitals and insurance companies. A patient centric healthcare system is one that is designed around the goals a patient wants to achieve. We’re building healthcare that puts patients in control, provides reactive and proactive care, has transparent pricing and process, is extremely effective and ridiculously convenient, and evolves over time based on patients’ goals.


Ro has been recognized as a Fortune Best Workplace in New York and Health Care for four consecutive years (2021-2024). In 2023, Ro was also named Best Workplace for Parents for the third year in a row. In 2022, Ro was listed as a CNBC Disruptor 50.


This position involves querying electronic health record data and applying advanced statistical methods to determine the impacts of treatments on patient outcomes in collaboration with cross-functional partners and in service of internal and external dissemination (including scientific publications and internal substantiation documents). The Senior Clinical Analyst will serve as an in-house statistical methodology expert and will serve as a resource for other stakeholders within the organization.


What You'll Do
  • Query electronic health record databases to create necessary data files for analytics
  • Create statistical analysis plans and lead analytical programming and execution to support high profile research and claims substantiation 
  • Apply advanced quasi-experiemental statistical methods on observational data for the purpose of causal inference (e.g. propensity score matching, within-subject proportional hazards)Identify and implement appropriate models for longitudinal and repeated measures datasets 
  • Conduct power analyses to determine appropriate sample and minimum effect sizes for studiesCreate documentation to support scientific publications, claims substantiation, and other dissemination as needed


What You'll Bring to the Team
  • MS or PhD in Biostatistics, Quantitative Methods, or related discipline (PhD preferred)
  • 3+ years’ experience as a statistician in a health care setting
  • Proficiency in SQL and statistical modeling software including (R and/or Python)
  • Experience with big data 
  • Experience with complex statistical modeling for causal inference and longitudinal analysis 
  • Experience with power analyses 
  • Excellent oral and written communication skills.
  • Strong collaborative skills and ability to work with a cross-functional team

Bonus points for:
  • Knowledge of obesity space
  • Comfort with data science fundamentals and applications
  • Experience with Git


We've Got You Covered
  • Full medical, dental, and vision insurance + OneMedical membership
  • Healthcare and Dependent Care FSA
  • 401(k) with company match
  • Flexible PTO
  • Wellbeing + Learning & Growth reimbursements
  • Paid parental leave + Fertility benefits
  • Pet insurance
  • Student loan refinancing
  • Virtual resources for mindfulness, counseling, and fitness


The target base salary for this position ranges from $114,000 to $138,500 in addition to a competitive equity and benefits package (as applicable). When determining compensation, we analyze and carefully consider several factors, including location, job-related knowledge, skills and experience. These considerations may cause your compensation to vary.


Ro recognizes the power of in-person collaboration, while supporting the flexibility to work anywhere in the United States. For our Ro’ers in the tri-state (NY) area, you will join us at HQ on Tuesdays and Thursdays. For those outside of the tri-state area, you will be able to join in-person collaborations throughout the year (i.e., during team on-sites).


At Ro, we believe that our diverse perspectives are our biggest strengths — and that embracing them will create real change in healthcare. As an equal opportunity employer, we provide equal opportunity in all aspects of employment, including recruiting, hiring, compensation, training and promotion, termination, and any other terms and conditions of employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, familial status, age, disability and/or any other legally protected classification protected by federal, state, or local law.


See our California Privacy Policy here.

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Average salary estimate

$126250 / YEARLY (est.)
min
max
$114000K
$138500K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Clinical Analyst, Ro

As a Senior Clinical Analyst at Ro, based either in the vibrant city of New York, NY or remotely, you'll step into a pivotal role where your analytical prowess will shine. Ro is on a mission to revolutionize patient care by providing seamless healthcare solutions that genuinely cater to patient needs. Imagine working with a company that's not only a front-runner in telehealth but also empowers patients through a vertically integrated platform. Your work will have a direct impact, as you analyze electronic health record data to gain insights into treatment efficacy and support vital research initiatives. In this role, you will create statistical analysis plans and utilize cutting-edge quasi-experimental methods, all while collaborating closely with various teams. With your advanced degree in Biostatistics or a related field and at least three years of experience within the healthcare sector, you'll be armed with tools like SQL and statistical software, enhancing your ability to draw meaningful conclusions from complex datasets. Being part of a company consistently lauded as a top workplace enhances the excitement, offering comprehensive benefits ranging from medical insurance to generous PTO. If you’re eager to help reshape the future of healthcare and thrive in a collaborative setting, the Senior Clinical Analyst position at Ro might just be your ideal career path. Join us as we build a patient-centered system that prioritizes achieving health goals with convenience and transparency.

Frequently Asked Questions (FAQs) for Senior Clinical Analyst Role at Ro
What are the key responsibilities of a Senior Clinical Analyst at Ro?

A Senior Clinical Analyst at Ro is responsible for querying electronic health record databases, creating data files for analytics, leading statistical analysis, and collaborating with cross-functional teams to disseminate findings. This includes applying advanced statistical methods to assess treatment impacts and documenting supportive evidence for scientific, internal, and external purposes.

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What qualifications are needed for the Senior Clinical Analyst role at Ro?

To qualify for the Senior Clinical Analyst position at Ro, candidates should possess an MS or PhD in Biostatistics or a related field, with at least three years of experience as a statistician in healthcare settings. Proficiency in SQL, R or Python, and a strong foundation in statistical modeling and causal inference are essential.

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How does the Senior Clinical Analyst contribute to Ro's mission in healthcare?

The Senior Clinical Analyst plays a crucial role in Ro's mission by providing insights through rigorous data analysis to improve patient outcomes. By utilizing advanced statistical methods, the analyst helps shape healthcare strategies that prioritize patient goals and drives evidence-based decisions across the organization.

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What statistical methods are commonly used by the Senior Clinical Analyst at Ro?

Senior Clinical Analysts at Ro typically apply advanced quasi-experimental statistical methods such as propensity score matching and within-subject proportional hazards models. These techniques help establish causal relationships from observational data, which is vital for claims substantiation and enhancing treatment efficacy.

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What has Ro achieved in terms of workplace recognition?

Ro has been recognized as a Fortune Best Workplace in New York and Health Care for four consecutive years, highlighting its commitment to creating an outstanding work environment. Furthermore, Ro has consistently ranked as a top workplace for parents and was identified as a CNBC Disruptor 50, reflecting its innovative approach to healthcare.

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Common Interview Questions for Senior Clinical Analyst
Can you describe your experience with SQL and how it relates to the Senior Clinical Analyst role?

When answering this question, highlight specific projects where you've utilized SQL to query databases, detail the types of data you've worked with, and how you've transformed raw data into informative analytics. Emphasize your ability to manipulate data efficiently to inform business decisions.

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What statistical analysis techniques are you proficient in, and how have you applied them in previous roles?

Discuss your experience with various statistical analysis techniques such as regression analysis, variance analysis, or causal inference methods. Provide examples of how you applied these techniques in real-world scenarios to solve problems or draw insights that impacted patient care.

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How do you handle collaboration with cross-functional teams?

Describe your collaborative approach, focusing on your communication skills, ability to work with diverse teams, and examples of successful projects where you worked with stakeholders from different departments to achieve common goals.

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What types of health data have you previously analyzed, and what challenges did you face?

Share specific examples of health data you've analyzed, discussing any challenges such as data quality, varying definitions of health metrics, or dealing with large datasets. Highlight your problem-solving strategies to overcome these challenges.

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Can you explain a complex statistical concept in layman's terms?

Select a complex concept, like propensity score matching, and break it down into simple terms. Use relatable analogies to convey the idea and demonstrate your ability to communicate effectively with non-technical audiences, which is key in multidisciplinary teams.

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What experience do you have with power analyses?

Discuss your understanding of power analysis, when it's necessary, and any practical applications you’ve been involved in. Emphasize its importance in study design and how it contributes to robust and valid conclusions in research.

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How do you stay updated on advancements in statistical methodologies?

Share your strategies for keeping up with industry developments, whether through professional journals, webinars, attending conferences, or engaging in online forums. Express your commitment to continuous learning and adapting to new methodologies relevant to healthcare analytics.

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What role does documentation play in your analytical process?

Emphasize the importance of documentation in the analytical process for reproducibility and clarity. Discuss your practices for maintaining thorough records of your methodologies, results, and decisions made during the analysis, which support scientific publications and internal evaluations.

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Can you provide an example of a project where your analysis directly influenced decision-making?

When answering this, tell a story about a specific project where your analysis led to a significant decision or change in strategy. Describe the data you analyzed, the insights you derived, and how those findings were integrated into organizational practices.

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How do you approach data quality and integrity in your analyses?

Discuss your approach to ensuring data quality, such as validating sources, cleaning data, and being vigilant about inconsistencies. Highlight experiences where you proactively addressed data quality issues that could affect the outcome of your analyses.

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Full-time, hybrid
DATE POSTED
December 27, 2024

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