2

Biotech Startup Remote Jobs in Connecticut (NOW HIRING)

Biotech Startup Remote information

See Connecticut salary details

$14

$26

$35

How much do biotech startup remote jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for biotech startup remote in Connecticut is $26.33, according to ZipRecruiter salary data. Most workers in this role earn between $20.58 and $31.54 per hour, depending on experience, location, and employer.

What is a biotech startup remote job?

A biotech startup remote job refers to a position within an early-stage biotechnology company that allows employees to work from locations outside of a traditional office setting, typically from home. These roles can range from research and development to marketing, regulatory affairs, or business development. Working remotely in biotech startups often requires strong communication skills, self-motivation, and the ability to collaborate virtually with team members. Many biotech startups embrace remote work to access a wider talent pool and reduce overhead costs.

What are some unique challenges of working remotely for a biotech startup, and how can job seekers prepare for them?

Working remotely for a biotech startup often involves navigating rapidly changing priorities and collaborating across multiple time zones. Since biotech startups frequently operate in highly regulated environments and depend on real-time data, clear communication and proactive problem-solving skills are essential. You may be expected to work independently while still coordinating closely with cross-functional teams such as research, product development, and regulatory affairs. To prepare, job seekers should develop strong digital collaboration habits, familiarize themselves with project management tools, and be comfortable with a fast-paced, sometimes ambiguous work environment.

What are the key skills and qualifications needed to thrive in a remote role at a biotech startup, and why are they important?

To thrive in a remote role at a biotech startup, you generally need a strong background in life sciences, data analysis, and relevant industry experience, often supported by a degree in biology, biotechnology, or a related field. Familiarity with bioinformatics tools, cloud-based collaboration platforms, and possibly experience with laboratory information management systems (LIMS) are typical technical requirements. Exceptional communication, self-motivation, and problem-solving skills help remote employees stand out and remain effective in a fast-paced, innovative environment. These competencies are crucial for driving scientific progress, maintaining productivity, and ensuring seamless teamwork despite physical distance.

What is the difference between Biotech Startup Remote vs Biotech Laboratory Technician?

AspectBiotech Startup RemoteBiotech Laboratory Technician
Work EnvironmentPrimarily remote, flexible locationLaboratory setting, on-site
Required CredentialsBachelor's degree in biotech or related field; some roles may require certificationsAssociate's or Bachelor's degree in biotech or related field
Industry UsageCommon in research, data analysis, and project management rolesHands-on lab work, experiments, and sample analysis
Work FocusData, research coordination, remote collaborationLaboratory procedures, sample handling, experimental setup

Biotech Startup Remote roles focus on research coordination, data analysis, and project management, often working remotely. In contrast, Biotech Laboratory Technicians perform hands-on lab work in physical lab environments. Both roles require relevant biotech credentials, but the work environment and daily tasks differ significantly.

What are popular job titles related to Biotech Startup Remote jobs in Connecticut?

For Biotech Startup Remote jobs in Connecticut, the most frequently searched job titles are:

What cities in Connecticut are hiring for Biotech Startup Remote jobs?

Cities in Connecticut with the most Biotech Startup Remote job openings:

Infographic showing various Biotech Startup Remote job openings in Connecticut as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% Remote job distribution, with an average salary of $54,758 per year, or $26.3 per hour.

Senior Manager, Statistical Programming (Remote)

Penfield Search Partners

Fairfield, CT • On-site, Remote

Full-time

Posted 17 days ago


Job description

Contact: Lauren Scutero -
No 3rd party candidates
The Senior Manager of Statistical Programming will be responsible for leading Statistical Programming activities. It involves hands-on implementation of statistical analyses using SAS/R, as well as performing quality reviews of deliverables, both for in-house analyses and outsourced programming tasks.

This position serves as a critical bridge between Biostatistics and Clinical Data Management (CDM), ensuring the development of CRFs and the delivery of high-quality clinical data. Additionally, this position will play an important role in establishing SOPs and programming standards, and modernizing statistical reporting with open-source tools.


Essential Duties and Responsibilities

Key Project Responsibilities:

  • Provide programming leadership and oversee study to compound-level programming deliverables in collaboration with the lead biostatistician and cross-functional teams.
  • Serve as the lead programmer to review the SAP, Data Presentation Plan, and Table Shells to align with project objectives and ensure clarity and completeness of programming assumptions and requirements.
  • Lead programming team to produce and/or validate SDTM, ADaM, and TLF for CSR and regulatory requests, publication needs, and ad-hoc analyses.
  • Manage CROs and contractors, ensuring compliance, quality of deliverables, timelines, and budget adherence.
  • Collaborate with biostatisticians and clinical development colleagues to develop/review TLF shells, SDTM, and ADaM specifications.
  • Work closely with Data Management and Biostatistics teams to ensure the accuracy of final databases, analyses, and reports.
  • Develop company tools, such as R packages, macros, and interactive data dashboards (e.g., with Shiny), to enhance the efficiency and capacity of the Statistical Programming team.
  • Develop robust programs to create define.xml. Lead the NDA eSubmission package preparation.

Initiative Responsibilities:

  • Under the guidance of the Head of Statistical Programming and Compound Lead, implement innovative strategies and technologies to enhance programming processes.
  • Working with the manager, establish Statistical Programming standards and deploy programming strategies, specifications, and programmed analyses.
  • Proactively plan, implement, and identify issues/risks and provide remediation strategies to improve programming capability.


Qualifications and Preferred Skills 

Education:

  • Master’s degree in Statistics/Biostatistics, Mathematics, Computer Science, or a related field.

Experience and Skill Set:

  • Minimum of 6 years of statistical programming experience in the pharmaceutical, biotech, or CRO clinical trial environment.
  • Advanced SAS and R programming skills, with experience using Git for version control required. Extensive hands-on experience with SDTM, ADaM, and TLF programming.
  • Python programming experience is desirable.
  • Proficient knowledge in the implementation of CDISC standards (SDTM, ADaM) and regulatory submission requirements.
  • Good knowledge of the drug development process, study design, statistical methodology, regulatory guidance, statistical concepts, and medical terminology.
  • Broad expertise in statistical programming and in developing computing strategies.
  • In-depth understanding of CDISC standards including SDTM and ADaM models and extensive experience with their implementation in clinical trials.
  • Knowledge of data validation, define.xml generation using Pinnacle 21.
  • Results-oriented, with proven problem-solving skills and a strong interest in continued learning.
  • Excellent communication and collaboration skills, with the ability to work closely with cross-functional teams.
  • Experience managing outsourced programming activities and overseeing deliverables from CROs and contractors.
  • Adaptable and able to thrive in a fast-paced, startup environment while managing multiple priorities effectively.
  • Experience with regulatory audits and inspections (e.g., FDA, PMDA, NMPA, EMA) is a strong advantage.