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Ml Data Associate Jobs in Frederick, MD (NOW HIRING)

Qiagen

Bioinformatics Scientific Expert

Frederick, MD

$80K - $110K/yr

... data into impactful products and actionable insights. Your tasks include * Develop, optimize ... Evaluate emerging bioinformatics technologies, algorithms, AI/ML approaches, and software tools to ...

Leidos

Elastic Search Engineer

Rockville, MD · On-site

$107K - $195K/yr

... learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation ... Associate). * Ability to obtain and maintain Privileged User Account (PUA) certification.

Leidos

Elastic Search Engineer

Gaithersburg, MD · On-site

$107K - $195K/yr

... learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation ... Associate). * Ability to obtain and maintain Privileged User Account (PUA) certification.

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Ml Data Associate information

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$57.2K

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How much do ml data associate jobs pay per year?

As of Sep 3, 2026, the average yearly pay for ml data associate in Frederick, MD is $67,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $59,200.00 per year, depending on experience, location, and employer.

What is an ml data associate?

ML Data Associates are professionals who support machine learning projects by preparing, labeling, and validating data used to train and evaluate algorithms. They often work with large datasets, ensuring data quality and accuracy, and may use specialized tools to annotate images, text, or audio. Their work is essential for enabling machine learning models to learn from high-quality, well-structured data, and they often collaborate with data scientists and engineers to optimize data pipelines.

What are the key skills and qualifications needed to thrive as an ml data associate?

To thrive as an ML Data Associate, you need strong analytical skills, attention to detail, and a solid understanding of data annotation or labeling, often supported by a degree in a technical field. Familiarity with data labeling tools, basic programming (such as Python), and experience working with machine learning platforms are typically required. Excellent communication, problem-solving abilities, and the capacity to work efficiently in teams are important soft skills. These skills ensure high-quality, accurately labeled datasets that are essential for training effective machine learning models.

What are some common challenges faced by ml data associates when labeling complex datasets, and how can they be effectively addressed?

ML Data Associates often encounter challenges with ambiguous data, inconsistent labeling guidelines, or rapidly evolving project requirements. To address these, it's important to maintain open communication with data scientists and project leads, ask clarifying questions, and participate in regular calibration sessions to ensure consistency. Utilizing annotation tools efficiently and staying up-to-date with best practices can also help manage complexity and improve label quality. Collaboration and feedback within the team are key to overcoming these challenges and ensuring high-quality datasets.

What is the difference between Ml Data Associate vs Data Analyst?

AspectML Data AssociateData Analyst
Required CredentialsTypically a degree in computer science, data science, or related field; familiarity with machine learning conceptsUsually a degree in statistics, mathematics, or business analytics; strong Excel and data visualization skills
Work EnvironmentTech companies, AI startups, or organizations focusing on machine learning projectsBusiness, finance, marketing, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing AI models, machine learning pipelines, and data infrastructureCommon across industries for reporting, trend analysis, and strategic decision-making

While both roles involve working with data, ML Data Associates focus on preparing and managing data specifically for machine learning models, whereas Data Analysts interpret data to generate business insights. The roles overlap in data handling skills but differ in their end goals and technical focus.

How do I become an ML Data Associate?

To become an ML Data Associate, candidates typically need a high school diploma or equivalent, along with strong attention to detail and organizational skills. Familiarity with data management tools, basic understanding of machine learning concepts, and experience with data annotation or labeling are often required. Some roles may also require knowledge of programming languages like Python or experience with data annotation platforms.

What skills do you need for a machine learning data associate job?

A machine learning data associate needs strong analytical skills, attention to detail, and proficiency in data management tools like Excel, SQL, or Python. Knowledge of data cleaning, labeling, and basic understanding of machine learning concepts are also important for the role.

What are popular job titles related to Ml Data Associate jobs in Frederick, MD?

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The top searched job categories for Ml Data Associate jobs in Frederick, MD are:

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Cities near Frederick, MD with the most Ml Data Associate job openings:

Ml Data Associate jobs near you

Director, IT Business Partner - R&D Quality

AstraZeneca

Gaithersburg, MD • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

23rd of 86 rated pharmaceutical

Job description

Are you ready to develop how technology accelerates quality, innovation, and decision-making across R&D? At AstraZeneca, we are driven by our purpose to push the boundaries of science to deliver life-changing medicines to patients. This is an outstanding opportunity to join a collaborative, ambitious environment where digital, data, and technology play an increasingly critical role in enabling scientific excellence and operational performance.
As Director - IT Business Partner - R&D Quality, you will act as a strategic partner to the Chief Medical Officer Organisation, helping to connect business priorities with the right technology capabilities, roadmaps, and investments. You will work at the intersection of business strategy, IT, and innovation, building positive relationships across customers and finding opportunities to improve quality, efficiency, and speed of decision-making. This includes helping shape forward-looking solutions, including the use of AI/ML, to support evolving business needs in a highly regulated environment.
This role is ideal for a leader who combines strong business understanding with technology insight, and who thrives on influencing senior collaborators, translating complex needs into practical solutions, and leading teams through change. You will be part of a company that champions bold thinking, empowered teams, and continuous learning - where your work can have meaningful impact across the enterprise and, ultimately, for patients.
Typical Accountabilities
  • Act as an IT business partner for the Chief Medical Officer Organisation on R&D Quality business area.

  • Develop local/ area-specific IT business partnering plans, managing delivery within a defined framework for functional area for the long term (18-24 months).

  • Deliver and monitor budgets (including capacity planning/ utilization and capital) for own IT business partnering area to support the achievement of operational plans within budget.

  • Identify, articulate, and champion strategic technology improvements to enhance business performance; collaboratively define the IT capability roadmap.

  • Partner with business leaders within area to evaluate proposals, build cases, plan new joint initiatives, and assess feasibility and relevance.

  • Oversee support to business functions around IT strategy development, service management, risk management, and relationship management.

  • Educate the business on IT services, products, and capabilities, facilitating IT communication management across assigned business functions.

  • Work closely with Business process and Business solutions leads within CMO function to Build a comprehensive strategy to improve quality and speed of decision making by deploying AI/ML models

As People Manager
  • Lead, influence, and motivate IT business partnering team to achieve the stretch goals and contribute to success within area.

  • Own performance measurement and associate metrics for delivery or functional targets and 'Tier' reporting.

  • Facilitate capability development of IT business partnering professionals and managers through focused coaching and development plans.

  • Facilitate successful recruitment for team positions through interviewing for skills and capabilities, against AZ values and behaviours, inclusivity and diversity.

  • Drive future-focused skill development interventions within area through cross-functional/ regional/ external partnerships to equip and adapt IT business partnering workforce to evolving technologies.

Qualifications and Skills
Essential:
  • Bachelor's Degree
  • 7+ years of demonstrated experience
  • Proven experience in a client-facing IT role, including long-term planning, business plan/case development, and client management

  • Substantial experience with business models, operating models, financial models, cost-benefit analysis, budgeting, and risk management

  • Substantial experience working with diverse business ecosystems, Cloud/SaaS models, business applications, and other technology aspects

  • Substantial experience in Pharma R&D business domain with comprehensive understanding of business processes and drivers for success

  • Experience working with regulatory aspects related to IT solutions in the relevant business domain. Proven experience to elicit complex business requirements through engagement with diverse sets of business and IT collaborators across levels

Desirable
  • Experience co-working with cross-functional global leadership and senior customers preferred. Significant experience managing in a global organization with geographically dispersed teams and collaborators outcomes.

  • Certification in business analysis practice, preferred; Experience managing managers preferred for people manager roles.

Key Relationship to Reach Solutions
  • Internal: Global Strategy / Portfolio Managers; Service Delivery managers; Customer Service groups; Key commercial contacts.

  • External: Technology leaders; peers in other pharma companies and industries.

When we put unexpected teams in the same room, we unleash bold thinking with the power to encourage life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
The annual base pay for this position ranges from $153,018.40 - $229,527.60 USD Annual. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles). Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Are you ready to bring new insights and fresh thinking to the table? Fantastic! We have one seat available, and we hope it's yours. Apply today.
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We follow all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
WHY JOIN US ?
We're a network of high-reaching self-starters who contribute to something far bigger. We enable AstraZeneca to perform at its peak by delivering premier technology and data solutions.
Date Posted
27-Aug-2026
Closing Date
31-Aug-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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About AstraZeneca

Sourced by ZipRecruiter

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialization of prescription medicines for some of the world's most serious diseases. But we're more than one of the world's leading pharmaceutical companies. A place built on courage, curiosity and collaboration - we make bold decisions driven by patient outcomes. Empowered to lead at every level, free to ask questions and take smart risks that write the next chapter for our pipeline and Oncology team. Make a meaningful impact that brings real benefits to society. By applying your knowledge of data, you will help to redefine our industry and ultimately save lives. Work with experts who share a common goal: to accelerate the potential of medicines and the science of tomorrow.

Industry

Pharmaceutical product wholesalers and pharmaceutical and medicine manufacturing

Company size

10,000+ Employees

Headquarters location

Cambridge, Cambridgeshire, GB

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