Jobs · Analyst · North Carolina

Scientist

Genomics · Raleigh-Durham-Chapel Hill Area · 1 mo ago
On-siteAnalystFull-time
We need to output HTML fragment with sections only when there is real specific content. Must use

for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must not repeat job title. Must not include Job ID etc. Must preserve all substantive info. Remove boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, application instructions. Also remove "Ready to Build the Future? If this opportunity excites you, apply now!" and EEO statement, recruitment agency request. We need to parse the posting. Content: Location: Hybrid from our RTP office The Mission: Why We Exist ... (description) A Day in the Life ... (description of role, tasks) To be successful in this role, you will: ... (list of abilities) Who You Are Must have, solid foundations in: Statistics (modelling, regression) Genetics and molecular biology Statistical programming (e.g., Python or R) Preferred: Experience using a broad array of statistical genetics approaches (e.g., GWAS, colocalization, fine-mapping, Mendelian randomization, polygenic risk scores) Experience defining phenotypes from electronic health records. Knowledge of Bayesian inference, high dimensional statistics, causal inference. Experience with software engineering practices (version control [Git & GitHub], testing, documentation, agentic coding, containerisation) Experience building and running reproducible pipelines e.g., using WDL, Snakemake, or NextFlow. Experience using cloud computing and trusted research environments e.g. DNAnexus or Verily Workbench. Experience with methods development within statistical genetics Your Package We are committed to providing a transparent, supportive, and rewarding work environment. Compensation & Growth Competitive Salary: Salaries are externally benchmarked annually to ensure top-of-market compensation. Clear Career Path: A straightforward, open progression framework means you'll always know the path to promotion and how to achieve your next career goal. Continuous Learning: Including external courses and a wide library of L&D materials, because your growth is our success. Wellbeing & Time Off PTO: 25 days vacation, plus 8 federal holidays, plus an extra 3-day company-wide shutdown at year-end. Full Coverage: 401k, Comprehensive Health, Dental, and Vision plans, Health Savings Account (HSA), Life/AD&D, and Disability coverage. Work Environment & Culture Flexible Working: Hybrid Working.(e.g. From our RTP Office )Truly Inclusive Time Off: Our 'Bank Your Bank Holiday' program allows you to exchange public holidays for dates that hold personal or cultural significance to you. Vibrant Social Culture: From regular Town Halls and team picnics to organised sports events, our social committee ensures frequent opportunities to connect and celebrate. We need to map to sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to decide what content goes where. "About the role": could be mission and day in the life description. "Responsibilities": the bullet list of example tasks (Generate novel therapeutic hypothesis..., Apply and optimise risk tools...). Also maybe "To be successful in this role, you will:" could be responsibilities or requirements. "Requirements": maybe the "Must have, solid foundations in:" list. "Qualifications": maybe the "Preferred:" list? Or could combine. "Skills": maybe the technical skills list (statistics, programming, etc.) but we already have requirements. "Benefits": the Wellbeing & Time Off and Full Coverage etc. "Pay": Competitive Salary statement. "Schedule": Flexible Working: Hybrid Working. We must not create sections with filler like "commensurate with experience". We have actual content for Pay and Schedule. We need to avoid duplication. Let's extract substantive content: Mission paragraph: "Genomics is a science-led transatlantic TechBio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative healthcare. We are united by a single vision to help people live longer, healthier lives, using the power of genomics. Genomics aims to help people live longer, healthier lives in two ways: super-charging drug discovery and development for novel treatments with our AI-enabled advanced genetic analytics platform, and by helping people understand their personal risk of common chronic diseases through polygenic risk scores - giving doctors and health systems the chance to get the right people into the right prevention, screening and treatment programmes at the right time." A Day in the Life paragraph: "At Genomics, we tackle major scientific challenges in harnessing genomic data to improve human health. This role is part of the Life Sciences team, working on a range of challenges spanning the therapeutic development cycle – including discovering and validating therapeutic targets and developing patient stratification strategies. The Scientist is an early-career member of the team, who will thrive in a highly collaborative team environment. With the team’s support, you will develop and execute innovative and rigorous scientific approaches, and will effectively communicate findings to both internal and external stakeholders." Example tasks bullet list (two items): - Generate novel therapeutic hypothesis for diseases with unmet need, mining the in-house data resources using statistical approaches to understand the causal pathophysiology of disease, identify and triage potential targets with genetic evidence, and build a rich understanding of the cell types, cellular function, tissue-level characteristics, patient populations and biomarkers needed to support a development program. - Apply and optimise risk tools for patient stratification that combine genetic information (through polygenic risk scores) with conventional risk factors, to find those individuals most at risk of disease onset or progression and those most likely to benefit from particular therapies. "To be successful in this role, you will:" list: - bring a strong foundation in the application of statistical and computational techniques in biomedical science that you can apply in innovative ways, - thrive on analysing vast and diverse sources of ‘omic data using leading statistical or AI/ML approaches to make meaningful insights into complex problems, - and take pride in effectively sharing your findings with others. "Who You Are" Must have, solid foundations in: - Statistics (modelling, regression) - Genetics and molecular biology - Statistical programming (e.g., Python or R) Preferred: - Experience using a broad array of statistical genetics approaches (e.g., GWAS, colocalization, fine-mapping, Mendelian randomization, polygenic risk scores) - Experience defining phenotypes from electronic health records. - Knowledge of Bayesian inference, high dimensional statistics, causal inference. - Experience with software engineering practices (version control [Git & GitHub], testing, documentation, agentic coding, containerisation) - Experience building and running reproducible pipelines e.g., using WDL, Snakemake, or NextFlow. - Experience using cloud computing and trusted research environments e.g. DNAnexus or Verily Workbench. - Experience with methods development within statistical genetics "Your Package" sections: Compensation & Growth: - Competitive Salary: Salaries are externally benchmarked annually to ensure top-of-market compensation. - Clear Career Path: A straightforward, open progression framework means you'll always know the path to promotion and how to achieve your next career goal. - Continuous Learning: Including external courses and a wide library of L&D materials, because your growth is our success. Wellbeing & Time Off: - PTO: 25 days vacation, plus 8 federal holidays, plus an extra 3-day company-wide shutdown at year-end. - Full Coverage: 401k, Comprehensive Health, Dental, and Vision plans, Health Savings Account (HSA), Life/AD&D, and Disability coverage. Work Environment & Culture: - Flexible Working: Hybrid Working.(e.g. From our RTP Office ) - Truly Inclusive Time Off: Our 'Bank Your Bank Holiday' program allows you to exchange public holidays for dates that hold personal or cultural significance to you. - Vibrant Social Culture: From regular Town Halls and team picnics to organised sports events, our social committee ensures frequent opportunities to connect and celebrate. We need to output HTML with headings

for each section we include. We must not include sections that have only filler. We have real content for About the role, Responsibilities, Requirements, Qualifications?, Skills?, Benefits, Pay, Schedule. We need to decide mapping: - About the role: Mission + Day in the Life (maybe combine). - Responsibilities: The example tasks bullet list (two items) plus maybe the "To be successful in this role, you will:" could be considered responsibilities or requirements. But we can put those under Responsibilities as well. - Requirements: Must have solid foundations in (Statistics, Genetics, Statistical programming). That's a list. - Qualifications: Preferred experience list (the longer list). Could be Qualifications. - Skills: maybe the technical skills like statistical programming, software engineering practices, etc. But we already have those in Requirements/Qualifications. To avoid thin sections, maybe we combine Skills into Qualifications or Requirements. But we need to follow instruction: Prefer a few substantive sections over many thin ones. So we could have About the role, Responsibilities, Requirements, Benefits, Pay, Schedule. That's 6 sections. Qualifications and Skills could be merged into Requirements or omitted if thin. However we have substantive content for both Must have and Preferred. Could combine them into Requirements (must have) and Qualifications (preferred). That's two sections. That's okay. Skills maybe not needed. Thus sections: About the role, Responsibilities, Requirements, Qualifications, Benefits, Pay, Schedule. Check each has real content. About the role: Mission + Day in the Life (two paragraphs). Good. Responsibilities: The example tasks bullet list (two items) plus maybe the "To be successful in this role, you will:" list (three items). That's substantive. Requirements: Must have solid foundations in (three items). Good. Qualifications: Preferred experience list (seven items). Good. Benefits: Wellbeing & Time Off + Full Coverage + Flexible Working? Actually Flexible Working is schedule; but we have schedule separate. Benefits: PTO, Full Coverage, Truly Inclusive Time Off, Vibrant Social Culture. That's substantive. Pay: Competitive Salary statement. Schedule: Flexible Working: Hybrid Working (maybe also mention RTP office). That's substantive. We should not include duplicated lines. Ensure we don't include boilerplate like "We are committed to providing a transparent, supportive, and rewarding work environment." That's generic but could be part of Benefits intro? Might be considered filler but it's not a heading. We can include it as a

under Benefits maybe. It's not boilerplate like EEO; it's a statement about culture. Could keep. We must remove "Ready to Build the Future? If this opportunity excites you, apply now!" and EEO statement and recruitment agency request. Also remove "Location: Hybrid from our RTP office" maybe we incorporate into Schedule. Now craft HTML. We'll have:

About the role

Genomics is a science-led transatlantic TechBio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative healthcare. We are united by a single vision to help people live longer, healthier lives, using the power of genomics. Genomics aims to help people live longer, healthier lives in two ways: super-charging drug discovery and development for novel treatments with our AI-enabled advanced genetic analytics platform, and by helping people understand their personal risk of common chronic diseases through polygenic risk scores - giving doctors and health systems the chance to get the right people into the right prevention, screening and treatment programmes at the right time.

At Genomics, we tackle major scientific challenges in harnessing genomic data to improve human health. This role is part of the Life Sciences team, working on a range of challenges spanning the therapeutic development cycle – including discovering and validating therapeutic targets and developing patient stratification strategies. The Scientist is an early-career member of the team, who will thrive in a highly collaborative team environment. With the team’s support, you will develop and execute innovative and rigorous scientific approaches, and will effectively communicate findings to both internal and external stakeholders.

Responsibilities

  • Generate novel therapeutic hypothesis for diseases with unmet need, mining the in-house data resources

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