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Temporary Remote Scientist Jobs in Washington (NOW HIRING)

Analytica is seeking a Data Scientist to support long term federal client engagements projects in ... This position is fully remote. This is a temporary position with the potential to convert to a ...

Analytica is seeking a Data Scientist to support long term federal client engagements projects in ... This position is fully remote. This is a temporary position with the potential to convert to a ...

PT Program Assistant

Washington, DC ยท Remote

$20 - $21/hr

Washington, DC (Remote or Hybrid for local candidates) Assignment Type: Contract (Approximately 2 ... Temporary coverage for an employee on leave through late September. * Start Date: Early August ...

We understand the importance of nurturing science not just for today, but for preserving tomorrow ... United States - Remote The estimated salary range is $100,000 - $130,000 based on experience level.

Chief Architect

Washington, DC ยท On-site +1

$142K - $237K/yr

Bachelor's degree in computer science or equivalent experience * Minimum 10 years' experience ... If the position offered in temporary, the position will not be eligible for incentive compensation.

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Temporary Remote Scientist information

What skills and qualifications are needed to thrive as a temporary remote scientist?

To thrive as a Temporary Remote Scientist, you generally need a solid academic background in a relevant scientific field, strong analytical abilities, and experience with scientific research methods. Familiarity with data analysis tools (such as Python, R, or specialized lab software), remote collaboration platforms, and sometimes specific certifications are typically required. Excellent written communication, self-motivation, and effective time management are stand-out soft skills for this role. These skills and qualities enable independent, high-quality research and seamless collaboration in a remote and often fast-paced environment.

What is a temporary remote scientist?

Temporary Remote Scientists are professionals hired on a short-term or contract basis to conduct scientific research or analysis from a remote location, rather than working onsite. They may work in fields such as biology, chemistry, data science, or environmental science, and use digital tools to collaborate with teams, analyze data, and report findings. This flexible arrangement allows organizations to access specialized expertise for specific projects without committing to permanent hires or requiring physical presence.

What is the difference between Temporary Remote Scientist vs Contract Research Associate?

AspectTemporary Remote ScientistContract Research Associate
CredentialsTypically requires a master's or PhD in a scientific fieldUsually requires a bachelor's or master's in a related field
Work EnvironmentRemote, often independent or collaborative research projectsLab or clinical setting, sometimes remote for data analysis
Employer & IndustryPharmaceutical, biotech, or research institutionsResearch organizations, biotech firms, or academic labs
Search & Comparison IntentLooking for remote scientific research rolesSeeking contract research roles, often in labs or clinical settings

The main difference is that a Temporary Remote Scientist typically works independently on research projects remotely, often requiring advanced degrees, while a Contract Research Associate usually works in labs or clinical environments, often with a bachelor's or master's degree. Both roles are common in research industries but differ mainly in work setting and level of independence.

What are common challenges faced by temporary remote scientists, and how can they be addressed?

Temporary Remote Scientists often encounter challenges such as limited access to laboratory facilities, coordinating with on-site teams, and managing time zone differences. To address these, it's crucial to maintain clear communication with colleagues, utilize digital collaboration tools effectively, and establish a structured daily routine. Proactively seeking feedback and regular check-ins with team leads can help ensure alignment on project goals and expectations, making remote contributions more impactful.
What cities in Washington are hiring for Temporary Remote Scientist jobs? Cities in Washington with the most Temporary Remote Scientist job openings:
Infographic showing various Temporary Remote Scientist job openings in Washington as of June 2026, with employment types broken down into 8% Full Time, 80% Part Time, 5% Temporary, and 7% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

Data Scientist - NLP

Analytica

Washington, DC โ€ข Remote

Other

Medical, Retirement

Re-posted 15 days ago


Job description

Analytica is seeking a Data Scientist to support long term federal client engagements projects in the DC Metro area.  The role will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems. 
This position is fully remote. This is a temporary position with the potential to convert to a full-time, regular employee role based on business needs, project funding, and individual performance. While full-time employment is not guaranteed, candidates who demonstrate strong performance and are a good long-term fit will be considered for permanent opportunities as they become available

Analytica has been recognized by Inc. Magazine as a fastest-growing private US small business.  We work with U.S. government customers in health, civilian, and national security missions.  Analytica offers competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match.  

 
Responsibilities include:

  • Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using Python. Strong candidates will explain various methods you have applied using common pre-processing functions such as stop word removal, stemming, lemmatization, and tokenization.
  • Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP feature engineering methods such as TF-IDF, word2vec, GloVe, and FastText identifying the key determinants for modeling that exist in the business process and within existing data sets as well as selecting evaluation protocols (model techniques).
  • Modeling - Candidates will have practiced skills and experience selecting classification modeling techniques to fit the business problem. Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
  • Validation - Strong candidates will describe their experience with investigating, reporting, and justifying model results.
  • Visualization- Experience in presenting the results of their modeling activities, depicting the insights realized, and explaining the relevance of their results to the organization’s business challenges.
Qualifications:
  • Master's degree required, and PhD preferred in Statistics, Mathematics, Computer Science, or similar
  • High degree of experience utilizing SAS, R, or Python to support NLP use cases such as Document Summarization, Named Entity Recognition, Sentiment Analysis, and/or Topic Modeling
  • At least four years of experience developing scalable, production-ready NLP solutions using sci-kit learn, Keras, TensorFlow, PyTorch, Spark NLP.
  • Experience using git/github to version control source code
  • Experience leveraging transformer architecture to develop NLP models
  • Experience with open source NLP packages such as Gensim, SpaCy, or NLTK.
  • Experience with BERT, GPT-J, RoBERTa, T5 or other transformers
  • Experience with GenAI and Prompt Engineering is a plus
  • Experience in Databricks and MLFlow is a plus
  • Experience with machine translation and transcription of foreign language documents using Microsoft Azure translation services is a plus
  • Experience working in an AWS cloud environment and with related AWS services such as Bedrock and Textract
  • Experience coordinating and maintaining user stories
  • Must be a US citizen
  • Must be able to obtain and maintain a Public trust security clearance

About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established SBA small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S.  Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider. 

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.

To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

  • Application Review: AI tools may help identify skills and experiences relevant to the role.
  • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

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