Skip to content
Natera

Manager of Data Analysis, Production Support

US Remote; USRemote · United States
Manager · Molecular Biology Informatics & Statistics
POSTED 5 OCTVERIFIED 1H AGO
Apply Ask
Role
39 days opentrue age
Past the 31d median close
Posted 5 Oct · n=77
Payats field
$140k–175kposted
▲ +26% vs market median $125k
$80k$176k
Market p25–p75
$80k–$163k
Natera p25–p75
$123k–$176kn=16
H-1B median · Other
$94k
United States · n=11153 · 365d to 12 Nov
CompanyNatera →
213open roles
Opened · 30d
+58
Closed · 30d
−63
Signal
● Steady−5 net
14d of snapshots · 30d window
Market
70,535open · Manager Other
Opened · 7d
+9,31813% of open
All other
603,082open
All tracked boards · live 14 Nov · n=70,535
Visa
48H-1B LCAs · FY26
PERM · FY26
7
Median wage
$132k
LCAs FY26 · n=48 · to 2026-06-29
PythonSQL

Important: This position will work in one of the following three Extended-Hours Support (ExHS) shift teams:

1. Weekend Shift Team

1a. Rotation 1: Sunday to Thursday (9AM–5PM), Friday and Saturday off

1b. Rotation 2: Tuesday to Saturday (9AM–5PM), Sunday and Monday off

2. Early-Morning Shift Team

2a. Rotation 1: Monday to Friday (4AM–12PM Pacific Time), Saturday and Sunday off

2b. Rotation 2: Tuesday to Saturday (4AM–12PM Pacific Time), Sunday and Monday off

3. Late-Evening Shift Team

3a. Rotation 1: Monday to Friday (3PM–11PM Pacific Time), Saturday and Sunday off

3b. Rotation 2: Sunday to Thursday (3PM–11PM Pacific Time), Friday and Saturday off

Important notes

  • During hiring, candidates will select and commit to one shift team (Weekend, Early-Morning, or Late-Evening).
  • Once hired and onboarded, the team member will work exclusively within that shift team.
  • ExHS team members rotate quarterly (every three months) between their team's two rotations.
  • There are no rotations between shift teams.

ABOUT THIS ROLE

Behind every sample in Natera’s labs is a patient waiting on a result, whether that’s an expectant parent, someone monitoring their cancer, or a transplant recipient. The ExHS team supports those labs outside normal business hours, when production issues still come up and Lab Operations still needs answers. As Manager of Data Analysis, you lead one of the shift teams and work the queue alongside your analysts. You take on escalations yourself, review code, and help the team through difficult analyses, knowing that faster answers mean faster results for patients and their providers. You also set objectives, track SLAs, and represent the team in stakeholder meetings.

The ideal person for this position is an experienced, hands-on data professional who has managed a team in a regulated lab or healthcare setting, is still comfortable writing SQL and Python, stays calm under pressure, communicates clearly with both technical and non-technical partners, with a strong sense of ownership for patient outcomes.

PRIMARY RESPONSIBILITIES

Leadership

  • Lead and mentor the specific ExHS shift team, fostering a culture of accountability, innovation, and collaboration.
  • Measure, report, and continuously improve team operational effectiveness.
  • Define and track team objectives, ensuring alignment with broader organizational goals.
  • Provide career growth opportunities, feedback, and performance assessments for team members.
  • Encourage individual contributors (ICs) to pitch ideas for process improvements and innovations.

Operational Excellence

  • Ensure timely and accurate resolution of production escalations data analysis tickets.
  • Train and coach team members on new technologies, procedures, and guidelines/best practices.
  • Enforce operating procedures for compliance, quality, and efficiency.
  • Manage and improve tracking systems for workload, capacity, and ticket SLAs.

Communication and Collaboration

  • Represent the Extended-Hours Support (ExHS) teams in stakeholder meetings.
  • Proactively manage stakeholder expectations.
  • Establish regular stakeholder reporting mechanisms.
  • Translate complex analytical results into actionable recommendations for cross-functional partners.
  • Effectively and correctly escalate issues encountered to other DSPE teams.

Process Improvement and Innovation

  • Identify opportunities for automation and process enhancements to streamline operations.
  • Identify and escalate risks such as data model changes that impact project timelines or ticket TAT.
  • Collaborate with the overall DSPE team to develop new and improve existing support solutions.

QUALIFICATIONS

  • 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.
Source · NateraFirst seen 2 Nov3 editsOriginal ↗