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Remote Biotech Data Analyst Jobs in Mesa, AZ (NOW HIRING)

Data Analyst (REMOTE)

Phoenix, AZ ยท Remote

$115K - $126K/yr

Ensures business data and analysis requirements are met by properly applying data concepts, including data structures, collection and cleansing, and structured and unstructured data analysis and ...

... for research and analytical purposes. Ability to use data to glean insights and form ... Strong ability to stay connected to remote partners and stakeholders.

DATA ANALYST INTERMEDIATE

Phoenix, AZ ยท On-site +1

$65.97K - $120.53K/yr

DATA ANALYST INTERMEDIATE Apply now Job No: 540431 Work Type: Full-time Location: PHOENIX ... All work, including remote work, should be performed within Arizona unless an exception is properly ...

Datavant is a distributed, remote-first team, and we empower Datavanters to shape their working ... This position is ideal for someone who has the right mix of data analysis, curiosity, and ...

Analyst-IMD Data Management

Phoenix, AZ ยท On-site +1

$51K - $59.30K/yr

Primary Duties Data Analysis & Reporting: * Create and maintain reports and dashboards to track ... remote-first culture - you've come to the right place. What Does This Mean for You? At Aledade, you ...

Payments & Wires, Data & Process Analyst

Tempe, AZ ยท On-site +1

$78K - $106K/yr

Creates a clear path into roles such as data stewardship, data governance, business analysis, risk ... in a remote, crosslocation environment Education * Bachelor's degree in business, finance, or ...

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Remote Biotech Data Analyst information

See Mesa, AZ salary details

$33.7K

$82K

$134.9K

How much do remote biotech data analyst jobs pay per year?

As of May 27, 2026, the average yearly pay for remote biotech data analyst in Mesa, AZ is $81,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Biotech Data Analyst, and why are they important?

To thrive as a Remote Biotech Data Analyst, you need a strong background in biology or life sciences, advanced data analysis skills, and typically a degree in bioinformatics, statistics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as experience with bioinformatics databases and software, is essential. Strong problem-solving abilities, attention to detail, and effective remote communication skills help you excel in collaborative, virtual environments. These skills enable accurate data interpretation, support scientific research, and drive innovation in biotechnology projects.

How does a Remote Biotech Data Analyst typically collaborate with cross-functional teams while working off-site?

Remote Biotech Data Analysts regularly collaborate with cross-functional teams, including researchers, lab technicians, and software engineers, primarily through virtual meetings, shared project management tools, and cloud-based data platforms. Effective communication is crucial, as analysts must clearly present findings and discuss data-driven recommendations with both technical and non-technical team members. While working remotely, they often face the challenge of aligning schedules across different time zones, but most organizations provide robust digital infrastructures and regular check-ins to ensure seamless collaboration and project progress.

What is a Remote Biotech Data Analyst?

A Remote Biotech Data Analyst is a professional who works from a remote location to analyze and interpret complex biological data for biotech companies or research organizations. They use statistical and computational techniques to help make sense of data from experiments, clinical trials, or laboratory research. Their insights help guide scientific decisions, optimize processes, and support product development in the biotechnology field. This role typically requires strong skills in data analysis, biology, and proficiency with specialized software and databases.

What is the difference between Remote Biotech Data Analyst vs Remote Bioinformatics Technician?

AspectRemote Biotech Data AnalystRemote Bioinformatics Technician
Required CredentialsBachelor's in Biology, Data Science, or related field; proficiency in data analysis toolsBachelor's in Bioinformatics, Biology, or related; familiarity with bioinformatics software
Work EnvironmentRemote, often collaborating with research teams and data scientistsRemote or lab-based, supporting bioinformatics workflows and data processing
Industry UsagePharmaceuticals, biotech firms, research institutionsResearch labs, biotech companies, academic institutions
Common Search/ComparisonYesYes

The Remote Biotech Data Analyst and Remote Bioinformatics Technician roles share similar educational backgrounds and industry settings. However, data analysts focus more on interpreting and analyzing biological data, while bioinformatics technicians support data processing and software management. Both roles are essential in biotech research, often working remotely to advance scientific discoveries.

What are the most commonly searched types of Biotech Data Analyst jobs in Mesa, AZ? The most popular types of Biotech Data Analyst jobs in Mesa, AZ are:
What cities near Mesa, AZ are hiring for Remote Biotech Data Analyst jobs? Cities near Mesa, AZ with the most Remote Biotech Data Analyst job openings:

Data Analyst (REMOTE)

Arsenault

Phoenix, AZ โ€ข Remote

$115K - $126K/yr

Full-time

Posted 23 days ago


Job description

Responsibilities Responsible for ensuring the business makes better decisions through collection and usage of data. Ensures business data and analysis requirements are met by properly applying data concepts, including data structures, collection and cleansing, and structured and unstructured data analysis and reporting. Ability to collect, analyze, manipulate, and report on ARSENAULT data.

Essential Duties And Responsibilities Performs ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets. Develops data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs. Defines data requirements and gathers and validates information, using judgment and statistical tests.

Utilizes programming and analytical tools, including open source programs including Python, R and SAS, SQL, Oracle, or similar relational database tools to formulate models and/or extract insights. Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques as required. Identifies and troubleshoots data integration and integrity issues in cooperation with the appropriate ARSENAULT business units; designs work flows and procedures.

Identifies opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance. Develops ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools (i.e. SSRS, Tableau).

Exhibits analytical rigor, judgment, and ability to present a comprehensive 'data story' to multiple levels of the organization. Other Duties as Assigned Supervisory Responsibilities No formal supervisory responsibilities in this position. May provide informal assistance such as technical guidance, and/or training to coworkers.

May coordinate and assign tasks to co-workers within a work unit and/or project. Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. EDUCATION And EXPERIENCE Bachelor's degree from top tier school in computer science, math, engineering or related field with a minimum of 3 years of experience in quantitative analysis, data modeling, reporting, relational database tools, data warehousing, database architecture, and SQL, SAS and/or SPSS including 2-3 years technical experience in software development, machine learning or statistical analysis, data engineering and data visualization related work. Communication Skills Excellent written and verbal communication skills.

Strong organizational and analytical skills. Ability to provide efficient, timely, reliable and courteous service to customers. Ability to effectively present information.

FINANCIAL KNOWLEDGE Requires knowledge of financial terms and principles. Ability to calculate intermediate figures such as percentages, discounts, and/or commissions. Conducts basic financial analysis.

REASONING ABILITY Ability to comprehend, analyze, and interpret documents. Ability to solve problems involving several options in situations. Requires intermediate analytical and quantitative skills.

OTHER SKILLS And ABILITIES Experience with Microsoft BI stack (e.g., SSRS) a bonus. Proficient in Microsoft Office Suite including Word, PowerPoint, Excel, and Outlook. Strong analytical skills.

SCOPE OF RESPONSIBILITY Decisions made with understanding of procedures and company policies to achieve set results and deadlines. Responsible for setting own project deadlines. Errors in judgment may cause short-term impact to co-workers and supervisor.

Compensation and Equal Opportunity Statements In compliance with Colorados Equal Pay for Equal Work Act (EPEWA) we are disclosing the compensation, or a range thereof, for roles that will be, or could be, performed in Colorado. If performed in Colorado, this position has a salary range of $115,000 - $126,000 with an opportunity for a company-wide annual discretionary bonus, through our PRP Bonus plan, of up to 10% of eligible pay. ARSENAULT is an equal opportunity/affirmative action employer with a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.

NOTE: An additional requirement for this role is the ability to comply with COVID-19 health and safety protocols, including COVID-19 vaccination proof and/or rigorous testing. #J-18808-Ljbffr