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Data Integrity Engineer Jobs in Maine (NOW HIRING)

Job Summary As an IT Support Engineer - Level 1 , you will be the first point of contact for users ... Monitor and support backup operations to ensure data integrity. * Collaborate with clients to ...

Job Summary As an IT Support Engineer - Level 1 , you will be the first point of contact for users ... Monitor and support backup operations to ensure data integrity. * Collaborate with clients to ...

Job Summary As an IT Support Engineer - Level 1 , you will be the first point of contact for users ... Monitor and support backup operations to ensure data integrity. * Collaborate with clients to ...

Perform regular quality control checks of spatial and non-spatial datasets to ensure data integrity ... Customize GIS workflow and software programs for data collection, engineering, and environmental ...

$15.25 - $20.50/hr

... developers and analysts. * Support the documentation of technical processes, user guides, and ... Perform basic data checks and assist with data validation efforts to ensure data integrity.

$15.50 - $20.50/hr

... developers and analysts. * Support the documentation of technical processes, user guides, and ... Perform basic data checks and assist with data validation efforts to ensure data integrity.

$15.75 - $21/hr

... developers and analysts. * Support the documentation of technical processes, user guides, and ... Perform basic data checks and assist with data validation efforts to ensure data integrity.

$16.25 - $21.50/hr

... developers and analysts. * Support the documentation of technical processes, user guides, and ... Perform basic data checks and assist with data validation efforts to ensure data integrity.

Showing results 21-40

Data Integrity Engineer information

What is a data integrity engineer?

Data Integrity Engineers are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization’s systems. They design and implement processes to prevent data corruption, loss, or unauthorized modification. These engineers work closely with database administrators, data analysts, and IT teams to monitor data flows, validate data quality, and enforce data governance policies. Their role is crucial in industries where high-quality data is essential for decision-making, compliance, and operational efficiency.

What are some common challenges data integrity engineers face when ensuring data quality across large, complex systems?

Data Integrity Engineers often encounter challenges such as managing data consistency across multiple databases, identifying and resolving discrepancies caused by data migrations, and ensuring compliance with regulatory standards. Additionally, they must frequently collaborate with software developers and database administrators to implement automated validation processes and address data anomalies promptly. Staying updated with evolving best practices and tools is crucial, as data environments and requirements can change rapidly in large organizations.

What are the key skills and qualifications needed to thrive as a data integrity engineer, and why are they important?

To thrive as a Data Integrity Engineer, you need strong analytical skills, a background in computer science or information systems, and experience with data management principles. Familiarity with database platforms (such as SQL), data validation tools, and knowledge of regulatory compliance standards are typically required. Attention to detail, problem-solving ability, and effective communication help ensure data accuracy and facilitate collaboration across teams. These skills are critical for maintaining reliable, secure, and compliant data systems that support informed business decisions.

What is the difference between Data Integrity Engineer vs Data Quality Analyst?

AspectData Integrity EngineerData Quality Analyst
Primary FocusEnsuring accuracy, consistency, and security of data across systemsAssessing and improving data quality, completeness, and usability
Skills & CertificationsDatabase management, SQL, data governance, certifications like CDMPData analysis, data profiling, quality frameworks, certifications like CDMP
Work EnvironmentIT teams, data engineering, database administrationBusiness analysis, data analysis teams, quality assurance
Industry UsageTech, finance, healthcare, where data security is criticalRetail, marketing, finance, focusing on data usability

While both roles focus on data, Data Integrity Engineers primarily ensure data security and consistency across systems, whereas Data Quality Analysts focus on assessing and improving data quality for business insights. Both roles often collaborate but serve distinct functions within data management.

What are popular job titles related to Data Integrity Engineer jobs in Maine?

For Data Integrity Engineer jobs in Maine, the most frequently searched job titles are:

What job categories do people searching Data Integrity Engineer jobs in Maine look for?

The top searched job categories for Data Integrity Engineer jobs in Maine are:

What cities in Maine are hiring for Data Integrity Engineer jobs?

Cities in Maine with the most Data Integrity Engineer job openings:

Infographic showing various Data Integrity Engineer job openings in Maine as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Director, Rare Disease Translational Center

Bar Harbor, ME • On-site

The Jackson Laboratory
Biotechnology Research and Development • 1 - 5K employees

$157K - $277K/yr

Full-time

Re-posted 21 days ago


The Jackson Laboratory rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz


Job description

The Senior Director, Rare Disease Translational Centerwill lead and scale preclinical programs across genomic based therapeutics (gene editing, gene replacement, RNA modalities) and small molecule portfolios. This role will provide scientific and operational leadership across in vitro and in vivo translational platforms, with emphasis on rigorous in vivo data form mouse efficacy and safety experiments involving using genetically engineered mice) as well as patient derived and engineered iPSC models, and a strong focus on operational quality, reproducibility, and regulatory readiness.

Located full time in Bar Harbor, ME - Relocation assistance available

Key Responsibilities

Set scientific strategy, milestones, and go/no go criteria for a mixed portfolio of programs form phenotyping, to target validation through pre-IND submission.

Design, oversee, and interpret efficacy, safety, biodistribution (vectors), DMPK, PK/PD, and dose ranging studies for both modalities, ensuring appropriate study design for translation to clinic.

Oversee the application of iPSC derived models and organoid systems for mechanism of action, target engagement, toxicity screening, and biomarker development.

Oversee a variety of mouse model programs (transgenic, knock in/knock out, conditional, humanized), ensuring genetic model choice, study endpoints, and statistical power align with program goals.

Redundant with above, implied in safet Ensure operational excellence: establish and maintain SOPs, study design standards, GLP standard readiness where required, data integrity practices, reproducible workflows, and quality metrics across internal teams.

Build, mentor, and scale a multidisciplinary preclinical team (geneticists, molecular and cellular biologists, iPSC specialists, study operations).

Oversee program timelines, risk management, and reporting; present program status, quality metrics, and scientific rationale to executive leadership.

Ensure preclinical data packages meet regulatory expectations for pre-IND and IND submissions and support regulatory interactions.

Requirements, Knowledge Skills and Abilities

Ph.D. in Pharmacology, Toxicology, Genetics, Molecular Biology or related life-science discipline

10 or more years of experience with at least 8 years of leadership

Industry experience in preclinical drug development with progressive leadership responsibility, including direct hands-on involvement in both small molecule and genomic therapy programs. Strong working knowledge of mouse genetics and mouse-based efficacy experiments.

Demonstrated track record advancing candidates through IND enabling studies toward IND/clinical transition.

Deep technical expertise in in vivo pharmacology, DMPK, PK/PD modeling, safety pharmacology, and preclinical toxicology for small molecules and biologics/gene therapies.

Hands on experience designing and executing mouse model studies (transgenic, humanized, conditional) and developing/using iPSC-derived disease models.

Proven experience implementing quality systems (SOPs, GLP or GLP readiness), ensuring data integrity, reproducibility, and operational compliance.

Strong leadership, project management, prioritization, and communication skills; demonstrated ability to present scientific and operational data to senior stakeholders and regulators. Preferred Qualifications:

Therapeutic-area experience aligned neurodegenerative, neurodevelopmental, cardiac, and rate genetic disease.

Prior direct experience in providing pre IND/IND packages, particularly for gene therapies.

Publications, patents, or recognized contributions in gene therapy, iPSC modeling, translational pharmacology, or preclinical safety.

Experience with vector engineering, manufacturing considerations for AAV, nanoparticles and other delivery modalities.

Leadership & Competencies:

Strategic, data driven leader who translates scientific insight into actionable development plans.

Operationally rigorous: enforces reproducibility, continuous improvement, and measurable quality metrics.

Collaborative cross functional partner with strong stakeholder management and governance skills.

Talent developer who recruits, mentors, and scales high performing scientific teams

Pay Range for this position is $157,688 - $277,662, based on years of related experience

About JAX:

The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California),Japan andChina. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.

Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visitwww.jax.org.

EEO Statement:

The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.


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