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Data Encoder Jobs in Boston, MA (NOW HIRING)

Applied Scientist, GenAI

Wilmington, MA · On-site

$151K - $189K/yr

Experience with Advanced RAG, semantic search, embeddings, and cross-encoders (retrieval tuning ... Familiarity with enterprise constraints: privacy, security, data governance, permissions ...

Mide has released several open-source Python libraries intended for use with our enDAQ data recorders: ebmlite, for decoding and encoding EBML data; idelib, for working with .IDE recording files from ...

Midé has released several open-source Python libraries intended for use with our enDAQ data recorders: ebmlite, for decoding and encoding EBML data; idelib, for working with .IDE recording files ...

Midé has released several open-source Python libraries intended for use with our enDAQ data recorders: ebmlite, for decoding and encoding EBML data; idelib, for working with .IDE recording files ...

Design Verification Engineer

Waltham, MA · On-site

$146K - $179K/yr

... Encode and Decode systems for ProRes and other codec formats such as VP9, AV1 - Hardware security ... of data structures and algorithms Experience with Python, Perl, or similar scripting language ...

This job is with Encode Inc, a fully owned subsidiary of LanceSoft. Pay Rate will be between $50 ... data 3 years Program/Project Management OR Analysis Experience with process maps/workflows to ...

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Data Encoder information

What is the work of data encoder?

A data encoder is responsible for inputting, updating, and maintaining data in computer systems or databases. They often use software tools like spreadsheets or database management systems and need attention to detail to ensure accuracy and data integrity.

Can I become an encoder with no experience?

Data encoder positions typically do not require prior experience, as training is often provided on the job. Basic skills in typing, attention to detail, and familiarity with data entry tools are helpful for starting in this role.

What is a Data Encoder job?

A Data Encoder is responsible for inputting, updating, and maintaining accurate data in computer systems or databases. They ensure data integrity by verifying and correcting information as needed. The role often involves handling confidential records, organizing files, and generating reports. Strong attention to detail, typing skills, and familiarity with data management software are essential for this position.

What are the key skills and qualifications needed to thrive in the Data Encoder position, and why are they important?

To thrive as a Data Encoder, you need excellent attention to detail, fast and accurate typing skills, and a high school diploma or equivalent as a common minimum qualification. Familiarity with data entry software, spreadsheet applications like Microsoft Excel, and sometimes database management systems is typically required. Strong organization, time management, and the ability to work independently or as part of a team are valuable soft skills in this role. These skills are crucial for ensuring the accuracy, reliability, and efficiency of data processing tasks within various industries.

Is data encoder work hard?

Data encoder jobs typically involve repetitive tasks such as entering and updating information into databases, which can be physically and mentally demanding over long periods. The work requires attention to detail, accuracy, and sometimes working under tight deadlines, but it generally does not involve strenuous physical activity.

What are the typical daily responsibilities of a Data Encoder?

A Data Encoder is primarily responsible for accurately inputting and updating information into digital databases or systems, often working with large volumes of data from paper or electronic sources. Typical daily tasks include reviewing documents for errors, verifying data for completeness and accuracy, and organizing files for easy retrieval. Data Encoders may also collaborate closely with other administrative staff or departments to ensure that records remain up-to-date and accessible. In some organizations, they also assist with basic data analysis or generate routine reports to support business operations.

How much is the salary of a data encoder?

The salary of a data encoder typically ranges from $25,000 to $45,000 per year, depending on experience, location, and the industry. Entry-level positions may start lower, while experienced data encoders with specialized skills can earn higher wages.
What are the most commonly searched types of Data Encoder jobs in Boston, MA? The most popular types of Data Encoder jobs in Boston, MA are:
Infographic showing various Data Encoder job openings in Boston, MA as of July 2026, with employment types broken down into 4% Internship, 77% Full Time, 11% Part Time, 4% Contract, and 4% Nights. Highlights an 88% In-person, and 12% Remote job distribution.

Principal Scientist, Computational Biology

Stylus Medicine

Cambridge, MA • On-site

$180K - $195K/yr

Full-time

Re-posted 6 days ago


Job description

About Stylus Medicine:
Stylus Medicine is developing transformative in vivo genetic medicines to unlock cures. Stylus combines engineered recombinases with non-viral delivery to specifically encode therapeutics. The company's approach is versatile and modular, with potential therapeutic application across oncology, autoimmune, genetic diseases, and beyond.
About the Role:
Stylus Medicine is seeking an innovative, intellectually curious and team-oriented Principal Scientist to support our large serine recombinase (LSR) engineering platform. This individual will provide high-resolution efficacy and specificity analysis to advance our pipeline as well as support onboarding of new preclinical assays for regulatory submissions, ensure accuracy of our analysis pipelines and translate our wet lab experiments into computational insights that will enable engineering of our next generation LSRs.
Key Responsibilities & Accountabilities:
  • Lead the analysis of NGS data from LSR experiments (like amplicon, hybrid capture, and long-read sequencing) to quantify target efficiency and specificity
  • Build integrated workflows to annotate and characterize target sites by synthesizing proprietary datasets with large-scale public genomic databases
  • Design, implement, and scale robust computational pipelines for multi-omics analysis
  • Collaborate closely with the Screening, Genome Engineering, and Protein Engineering teams to design experiments and interpret results
  • Develop and maintain internal databases and infrastructure to ensure experimental results are accessible, reproducible, and actionable
  • Contribute to patent filings, regulatory submissions, and scientific publications

Qualifications & Skills:
  • PhD with 5+ years or Master's with 10+ years (or Bachelor's with 12+ years) of industry experience in Computational Biology, Bioinformatics, or a related quantitative discipline.
  • Strong expertise in experimental design, data processing, statistical analysis, and NGS data analysis
  • Expert-level proficiency in Python and/or R, with extensive experience using data science libraries (e.g., Pandas, NumPy, Bioconductor)
  • Experience with cloud computing platformsfor large-scale data processing and with workflow management systems
  • Excellent organizational, communication, and documentation skills, with demonstrated ability to work effectively in collaborative, interdisciplinary environments
  • Strong scientific critical thinking skills, including the ability to evaluate approaches, synthesize complex data, and provide actionable recommendations
  • Proven track record of working successfully across cross-functional teams with proactive communication and timely delivery

Pay Range: $180,000 - $195,000