Manager, Data Analysis – Lab Production Support, Extended-Hours Support

🕒 October 5

🇺🇸 United States – Remote

💵 $140k - $175k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Natera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2004

🏥 Healthcare

🧬 Biotechnology

⚕️ Healthcare Insurance

Healthcare • Biotechnology • Healthcare Insurance

Natera is a global leader in cell-free DNA testing technology, specializing in non-invasive genetic testing and diagnostics. The company's innovative solutions focus on areas such as prenatal screening, cancer detection, and organ transplant monitoring. By using advanced bioinformatics and DNA analysis, Natera provides healthcare professionals and patients with critical information to make more informed medical decisions.

📋 Description

• Lead and mentor the assigned Extended-Hours Support shift team • Measure, report, and continuously improve team operational effectiveness • Define and track team objectives aligned with organizational goals • Provide career growth opportunities, feedback, and performance assessments • Encourage process-improvement and innovation ideas from individual contributors • Ensure timely and accurate resolution of production escalation data-analysis tickets • Train and coach team members on technologies, procedures, guidelines, and best practices • Enforce operating procedures for compliance, quality, and efficiency • Manage and improve workload, capacity, and ticket-SLA tracking systems • Represent Extended-Hours Support teams in stakeholder meetings • Manage stakeholder expectations and establish regular reporting mechanisms • Translate complex analytical results into actionable recommendations • Escalate issues to other Data Science Production Engineering teams • Identify automation and process-enhancement opportunities • Identify and escalate risks affecting project timelines or ticket turnaround time • Collaborate with the overall DSPE team to develop and improve support solutions

🎯 Requirements

• Master's degree in a related field (e.g., Statistics, Data Science, Computer Science) • Minimum 5 years of working experience in a highly regulated environment, e.g., CLIA and/or FDA compliant settings • Minimum 5 years of hands-on experience in data analysis and/or statistical modeling in data production, data engineering, data analytics, analytics production support roles • Minimum 2 years in a team management role • Knowledge of regulatory requirements, such as HIPAA and FDA guidelines • Working knowledge of the business processes and requirements of diagnostic laboratories • Proven track record in managing production escalations, data workflows, and team operations • Experience with healthcare data and clinical terminology is a plus • Functional understanding of next-gen sequencing workflows • Proficient in data analysis and statistical techniques • Proficient in Python and SQL development • Working knowledge of Snowflake platform technologies • Strong SQL skills for querying and retrieving data from complex data sources in a structured format • Strong understanding of statistical concepts, including parametric and non-parametric distributions, hypothesis testing, probability, and regression • Proficient in aggregating, preparing, cleaning, and mining data using SQL and Python • Familiarity with machine learning techniques and practical applications • Strong leadership and team management skills • Excellent problem-solving and critical-thinking abilities • Good documentation practices and coding style • Strong verbal and written communication skills, with ability to present technical findings to technical and non-technical audiences • Experience with version control systems such as GitHub or GitLab • Attention to detail and commitment to data accuracy • Ability to work collaboratively in a cross-functional team environment • Strong integrity

🏖️ Benefits

• Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents • Free testing for employees and their immediate families • Fertility care benefits • Pregnancy and baby bonding leave • 401k benefits • Commuter benefits • Employee referral program