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Remote Machine Learning Jobs in Charlotte, NC (NOW HIRING)

Solid understanding of statistical modeling and machine learning concepts, including model training ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

The Assistant Vice President (AVP), Applied AI leads data science, traditional machine learning ... This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ...

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI solutions that shape strategy and outcomes. American Modern Insurance Group, Inc., a Munich Re company ...

TrueML's approach uses machine learning to engage each customer digitally and adjust strategies in ... The base salary range for this remote role is $50,000 to $65,000 , determined by experience ...

Sr. Engineer I, Payments

Concord, NC · Remote

$125K - $165K/yr

TrueML's approach uses machine learning to engage each customer digitally and adjust strategies in ... PerkSpot discount program for 900+ merchants nationwide Remote Work, Travel Expectations & Physical ...

Lead Analyst, Analytics

Concord, NC · Remote

$145K - $170K/yr

Experience with AWS data tools, predictive modeling, or machine learning Would Love For You To Have ... A flexible, remote-friendly company with personality and heart * Employee-driven programs and ...

Note this position is remote US based in EST or CST About The Role AI capabilities at Genesys power ... Familiarity with machine learning and MLOps concepts, including model lifecycle management, data ...

Showing results 21-40

Remote Machine Learning information

See Charlotte, NC salary details

$24.9K

$41.6K

$86K

How much do remote machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote machine learning in Charlotte, NC is $41,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,700.00 and $44,900.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Machine Learning jobs in Charlotte, NC?

The most popular types of Machine Learning jobs in Charlotte, NC are:

What job categories do people searching Remote Machine Learning jobs in Charlotte, NC look for?

The top searched job categories for Remote Machine Learning jobs in Charlotte, NC are:

What cities near Charlotte, NC are hiring for Remote Machine Learning jobs?

Cities near Charlotte, NC with the most Remote Machine Learning job openings:

Infographic showing various Remote Machine Learning job openings in Charlotte, NC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $41,592 per year, or $20 per hour.

Real World Biostatistician - Safety Experience (hiring in US and Canada)

Syneoshealth

Concord, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Syneos Health rating

8.1

Company rating: 8.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

38th of 86 rated pharmaceutical


Job description

Real World Biostatistician - Safety Experience (hiring in US and Canada)

Syneos Health is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress.
Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape.
Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver - for one another, our customers, and, most importantly, for those in need.
Discover what your 25,000 future colleagues already know:
Why Syneos Health
We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
We are committed to building an inclusive culture - where you can authentically be yourself. Central to this is our purpose - Driven to Deliver - which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone's life.
We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress.

Job Responsibilities

Job Description

Biostatistician - Real-World Evidence (RWE)

Role Overview

We are seeking a biostatistician with strong experience in real-world data (RWD) with observational study design and safety study experience in addition to RWE Safety experience. This role will support evidence generation across multiple therapeutic areas. This role will focus on the design, analysis, and interpretation of observational studies using EMR and claims data toinform:clinical development, HEOR, regulatory strategy, and market access.

Key Responsibilities

  • Design and execute real-world evidence (RWE) studies using EMR and claimsdata;Conducting data specs,SAPand protocol with key research objectives

  • Develop and apply robust statistical methodologies, including:

  • Causal inference methods (e.g., propensity score methods, weighting, matching; GLM or GLMM, MMRM; survival analysis; random forest)

  • Trial emulation frameworks

  • External control arm development and borrowing strategies

  • Perform data analysis using healthcare coding systems (e.g., ICD, NDC)

  • Conduct sample size estimation and power calculations for observational and hybrid study designs

  • Collaborate cross-functionally with stakeholders across:

  • HEOR

  • Market Access

  • Regulatory

  • Clinical Development

  • Translate complex analytical results into clear, actionable insights,e.g.powerpointor study report for decision-making

  • Support methodological innovation in RWE, including integration of machine learning approaches where appropriate

Required Qualifications

  • M.S. or Ph.D. in Biostatistics, Statistics, Epidemiology, or related field

  • 5 years of experience in RWD/RWE analytics (industry or equivalent)

  • Strong experience with EMR and/or claims data

  • Proficiencyin healthcare coding systems (e.g., ICD, NDC)

  • Programmingexpertisein at least one of: SAS, R, or Python

  • Working knowledge with SQL logic and OMOP data structures

  • Solid understanding of:

  • Causal inference methods

  • Observational study design

  • Sample size and power considerations

  • Some examples: Independently write cohort definitions in SQL logic; Debug data issues e.g., time zero alignment, exposure gaps; Understand concept mapping (ICD SNOMED RxNorm); Translate statisticalestimand censoring rule and data extraction logic.

Preferred Qualifications

  • Ph.D. strongly preferred

  • Familiarity with:

  • Trial emulation methodologies

  • External control borrowing / hybrid designs

  • Basic machine learning methods applied to RWD

  • Demonstrated ability to work across multiple therapeutic areas (TAs) in a fast-paced environment

  • Strong communicationand stakeholder engagement skills

  • Advanced (nice-to-have, not alwaysrequired)

  • Build reusable cohort pipelines

  • Optimizequeries for large-scale databases

  • Work across multiple CDMs (OMOP, Sentinel,PCORnet)

Core Competencies

  • Analytical rigor and methodological depth

  • Cross-functional collaboration

  • Ability tooperatewith agility across diverse projects and therapeutic areas

  • Clear and effective scientific communication

Open to all US states and Canada. Remote based position.

At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements.

Salary Range:

$80,600.00 - $145,000.00

The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role.

Get to know Syneos Health


Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.

No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.

http://www.syneoshealth.com

Additional Information


Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.


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