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Flex Phd Statistics Jobs (NOW HIRING)

Lam Research Corporation

Process Engineer 4

Fremont, CA · On-site

$104K - $231K/yr

In-depth understanding of Statistical Process Control (SPC) and/or Design of Experiments (DOE ... Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the ...

Lam Research Corporation

Process Engineer 3

Fremont, CA · On-site

$86K - $192K/yr

In-depth understanding of Statistical Process Control (SPC) and/or Design of Experiments (DOE ... Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the ...

Lam Research Corporation

Process Engineer 5

Austin, TX · On-site

$105K - $231K/yr

In-depth understanding of Statistical Process Control (SPC) and/or Design of Experiments (DOE ... Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the ...

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Flex Phd Statistics information

What percentage of PhD students get jobs?

The employment rate for PhD graduates varies by field, but generally around 80-90% of PhD holders secure employment within a few years of graduation. For those with a focus on statistics or data analysis, skills in programming, statistical software, and research are highly valued in the job market.

What is the difference between Flex Phd Statistics vs Data Analyst?

AspectFlex Phd StatisticsData Analyst
Required credentialsPhD in Statistics or related fieldBachelor's or Master's in Statistics, Data Science, or related field
Work environmentResearch-focused, academic, or industry R&DBusiness, finance, marketing, or operations teams
Employer and industry usageUniversities, research institutions, tech companiesCorporations, consulting firms, government agencies

The main difference between Flex Phd Statistics and Data Analyst roles lies in the level of education and focus. Flex Phd Statistics positions typically require a PhD and involve advanced research and modeling, while Data Analysts usually hold a bachelor's or master's degree and focus on data processing and reporting. Both roles are essential in data-driven industries but serve different functions based on expertise and project scope.

What jobs can I get with a PhD in statistics?

A PhD in statistics qualifies individuals for roles such as data scientist, quantitative researcher, biostatistician, statistical consultant, and research scientist. These positions often require strong analytical skills, proficiency in statistical software like R or SAS, and the ability to interpret complex data for decision-making in industries like healthcare, finance, technology, and academia.

How much does a PhD statistician make?

A PhD statistician typically earns between $80,000 and $150,000 annually, depending on experience, industry, and location. Senior roles or those in specialized fields can offer higher salaries, especially with strong programming skills in R or Python and experience with statistical modeling. Salary levels also vary based on the sector, such as academia, healthcare, or technology companies.

Is PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in research, data science, and academia, often requiring strong analytical and programming skills. While it offers higher earning potential and specialized knowledge, it also involves significant time and financial investment, so its value depends on career goals and industry demand.
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Flex Phd Statistics jobs near you
Infographic showing various Flex Phd Statistics job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution.
Principal Scientist, Separation Methods Expert, Analytical Science and Technology (AS&T), Vertex ...

Principal Scientist, Separation Methods Expert, Analytical Science and Technology (AS&T), Vertex ...

Vertex Pharmaceuticals

Boston, MA • On-site

$138K - $207K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

Job Description
General Summary:
The Analytical Science and Technology (AS&T) Principal Scientist, Separation Method Expert, will be responsible for providing scientific and technical expertise within and across functional areas for late-stage & commercial methods and vendor management. S/He will manage the method life cycle, including method remediation, validation, transfer, troubleshooting and investigations for OOT/OOS, along with data trending analysis. Additionally, the principal scientist will partner closely with all stakeholders, and with contract testing sites establishing partnerships to ensure compliance with cGMP and Quality Management systems for the global network to deliver our medicines to patients effectively.
Key Duties and Responsibilities:
  • Lead analytical method remediation, validation and transfer for separation methods used for late stage and commercial Biologics programs.
  • Lead and support troubleshooting and investigations for in-process, release and stability testing.
  • Own Quality events and analytical related activities (Change Controls, Impact Assessments, Change Actions) related to analytical methods & related activities.
  • Collaborate cross-functionally with internal stakeholders and external partners to support analytical readiness for worldwide commercialization and ongoing product lifecycle activities.
  • Be accountable for the success of company and department projects/activities and ensure on-time deliverables to meet program commitments.
  • Support regulatory submissions and responses to inquiries from health agencies for INDs and BLAs for Biologics as analytical method Subject Matter Expert (SME).
  • Author technical documents, such as method SOPs, method validation/transfer protocols and report, method bridging and risk assessments.
  • Work with CMO/CTO or external partners on work request, product characterization, and technology transfers.
  • Review method trending data and prepare APQRs.

Knowledge and Skills:
  • Demonstrated expertise in analytical method development, validation, transfer and lifecycle management for protein-based biologics products.
  • In-depth, hands-on experience in separation methods including chromatographic (with variety of separation and detection modes), electrophoretic (CE and IEF) separation or impurity methods for biologics is a must.
  • Familiarity with the GMP, CLP, and regulatory guidance such as ICH, USP/EP/JP as applicable to analytical methods and commercial-stage CMC.
  • Familiar with analytical methods for biological products characterization including but not limited to peptide mapping and MS is a plus.
  • Demonstrated proficiency with regulatory requirements, USP, and ICH guidelines related to potency assays for registrational filings is required.
  • Experience in statistical analysis tools (e.g. JMP) and/or sufficient knowledge of statistical concepts required for data analysis and generating plots is desired.
  • Excellent communication skills with good technical writing skills with a proven ability to work with internal and external partners is a plus.
  • Ability to prioritize objectives from multiple projects and adhere to scheduled timelines while maintaining flexibility and efficiency.

Education and Experience:
  • PhD, Master's or Bachelor's in Biochemistry, Chemical engineering, or a related discipline.
  • Typically requires the following, or the equivalent combination of education and experience: PhD and 5+ years, or Master's and 8+ years, or Bachelor's and 10+ years of relevant work experience.

Pay Range:
$138,400 - $207,600
Disclosure Statement:
The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.
Flex Designation:
Hybrid-Eligible Or On-Site Eligible
Flex Eligibility Status:
In this Hybrid-Eligible role, you can choose to be designated as:
1. Hybrid: work remotely up to two days per week; or select
2. On-Site: work five days per week on-site with ad hoc flexibility.
Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time.
#LI-Hybrid
Company Information
Vertex is a global biotechnology company that invests in scientific innovation.
Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

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