313 Data Analysis jobs in Washington

SystImmune is a biotech company dedicated to developing innovative therapies for various diseases. We are seeking an experienced Machine Learning Scientist with expertise in data mining to join our team. The successful candidate will play a key role in analyzing pre-clinical and/or clinical data to uncover new protein targets and identify potential drug optimization opportunities for immunotherapy in cancers and other diseases. We are looking for a highly skilled Machine Learning Scientist with experience in data mining to analyze large datasets from public domain or company internal data. The ideal candidate will have a strong background in machine learning, data analysis, and programming skills. The primary objective of this role is to use AI, computational biology, and bioinformatics methods to classify and process R&D data, identifying potential opportunities for drug optimization and protein targets for immunotherapy. Responsibilities: Data Mining: Apply data mining techniques to large datasets from clinical trials, using desensitized data to identify patterns, trends, and correlations. Machine Learning Model Development: Design, develop, and train machine learning models to classify and process R&D data, identifying potential opportunities for drug optimization. Protein Target Identification: Use AI, computational biology, and bioinformatics methods to identify protein targets of immunotherapy in cancers and other diseases. Data Analysis: Analyze and interpret results from data mining and machine learning models, providing insights and recommendations to cross-functional teams. Collaboration: Work closely with researchers, clinicians, and other stakeholders to ensure that data analysis and machine learning models are aligned with business objectives and research goals. Communication: Present findings and results to both technical and non-technical audiences, including written reports, presentations, and visualizations. Requirements: Master's or Ph.D. in Computer Science, Machine Learning, Biostatistics, Bioinformatics, or a related field. 3+ years of experience in machine learning, data mining, or a related field, with a focus on clinical trial data analysis. Technical Skills: Proficiency in programming languages such as Python, R, or SQL. Experience with machine learning frameworks such as TensorFlow, or PyTorch. Familiarity with data visualization tools such as Tableau, Power BI, or D3.js. Domain Knowledge: Strong understanding of clinical trial design, biostatistics, and immunotherapy principles. Communication Skills: Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. Nice to Have: Familiarity with containerization using Docker. Knowledge of data security and compliance regulations such as HIPAA. Experience with agile development methodologies and version control systems such as Git. Company Culture: At SystImmune, we value innovation, collaboration, and creativity. We believe in fostering a work environment that is supportive, inclusive, and stimulating. Our team members are passionate about their work and are committed to making a positive impact on the lives of patients. SystImmune is committed to creating a diverse and inclusive work environment. Our goal is to build a team that reflects the diversity of our community and provides equal opportunities for everyone to succeed. If you share our values and are looking for a challenging and rewarding career opportunity, we encourage you to apply. About Our Team: Our team consists of experienced professionals from various backgrounds, including computer science, biostatistics, bioinformatics, and immunology. We work closely together to develop innovative solutions that can improve patient outcomes. If you are a motivated and talented individual who is passionate about machine learning and data analysis, we would love to hear from you. What to Expect: As a Machine Learning Scientist at SystImmune, you can expect to work on challenging projects that require the application of machine learning techniques to real-world problems. You will have the opportunity to collaborate with cross-functional teams, including researchers, clinicians, and data scientists. You will also have access to cutting-edge technologies and tools, as well as professional development opportunities to help you grow in your career. Compensation and Benefits: The expected base salary range for this position is $100,000 - $180,000 annually. Actual compensation will be based on a variety of factors, including but not limited to a candidate’s qualifications, experience, and skills. While most offers typically fall within the low to mid-point of the range, we may extend an offer toward the higher end for exceptional candidates whose background and expertise align strongly with the requirements of the role. SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company’s success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE. We offer an opportunity for you to learn and grow while making significant contributions to the company’s success. SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply. #J-18808-Ljbffr

Technology has revolutionized how we approach job hunting, and this book streamlines the process into a fast, efficient system that works. Instead of relying on outdated advice, The 2-Hour Job Search focuses on strategies that deliver real results in less time. Job title: Machine Learning Frontier Scientist, Data Mining Company: Systimmune Job description : SystImmune is a biotech company dedicated to developing innovative therapies for various diseases. We are seeking an experienced Machine Learning Scientist with expertise in data mining to join our team. The successful candidate will play a key role in analyzing pre-clinical and/or clinical data to uncover new protein targets and identify potential drug optimization opportunities for immunotherapy in cancers and other diseases.We are looking for a highly skilled Machine Learning Scientist with experience in data mining to analyze large datasets from public domain or company internal data. The ideal candidate will have a strong background in machine learning, data analysis, and programming skills. The primary objective of this role is to use AI, computational biology, and bioinformatics methods to classify and process R&D data, identifying potential opportunities for drug optimization and protein targets for immunotherapy. Responsibilities: Data Mining: Apply data mining techniques to large datasets from clinical trials, using desensitized data to identify patterns, trends, and correlations. Machine Learning Model Development: Design, develop, and train machine learning models to classify and process R&D data, identifying potential opportunities for drug optimization. Protein Target Identification: Use AI, computational biology, and bioinformatics methods to identify protein targets of immunotherapy in cancers and other diseases. Data Analysis: Analyze and interpret results from data mining and machine learning models, providing insights and recommendations to cross-functional teams. Collaboration: Work closely with researchers, clinicians, and other stakeholders to ensure that data analysis and machine learning models are aligned with business objectives and research goals. Communication: Present findings and results to both technical and non-technical audiences, including written reports, presentations, and visualizations. Requirements: Master’s or Ph.D. in Computer Science, Machine Learning, Biostatistics, Bioinformatics, or a related field. 3+ years of experience in machine learning, data mining, or a related field, with a focus on clinical trial data analysis. Technical Skills: Proficiency in programming languages such as Python, R, or SQL. Experience with machine learning frameworks such as TensorFlow, or PyTorch. Familiarity with data visualization tools such as Tableau, Power BI, or D3.js. Domain Knowledge: Strong understanding of clinical trial design, biostatistics, and immunotherapy principles. Communication Skills: Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. Nice to Have: Familiarity with containerization using Docker. Knowledge of data security and compliance regulations such as HIPAA. Experience with agile development methodologies and version control systems such as Git. Company Culture: At SystImmune, we value innovation, collaboration, and creativity. We believe in fostering a work environment that is supportive, inclusive, and stimulating. Our team members are passionate about their work and are committed to making a positive impact on the lives of patients. SystImmune is committed to creating a diverse and inclusive work environment. Our goal is to build a team that reflects the diversity of our community and provides equal opportunities for everyone to succeed. If you share our values and are looking for a challenging and rewarding career opportunity, we encourage you to apply. About Our Team: Our team consists of experienced professionals from various backgrounds, including computer science, biostatistics, bioinformatics, and immunology. We work closely together to develop innovative solutions that can improve patient outcomes. If you are a motivated and talented individual who is passionate about machine learning and data analysis, we would love to hear from you. What to Expect: As a Machine Learning Scientist at SystImmune, you can expect to work on challenging projects that require the application of machine learning techniques to real-world problems. You will have the opportunity to collaborate with cross-functional teams, including researchers, clinicians, and data scientists. You will also have access to cutting-edge technologies and tools, as well as professional development opportunities to help you grow in your career. Compensation and Benefits: The expected base salary range for this position is $100,000 – $80,000 annually. Actual compensation will be based on a variety of factors, including but not limited to a candidate’s qualifications, experience, and skills. While most offers typically fall within the low to mid-point of the range, we may extend an offer toward the higher end for exceptional candidates whose background and expertise align strongly with the requirements of the role.SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company’s success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE.We offer an opportunity for you to learn and grow while making significant contributions to the company’s success.SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply.Powered by JazzHR Expected salary : $1000 18000 per year Location : Redmond, WA Job date : Sun, 29 Jun 2025 04:42:04 GMT Apply for this job now! Explore career opportunities and trends in the tech industry with Tech Careers. From job tips to industry insights, stay informed about how to advance your tech career. Read the latest articles here at Techcratic. Your email address will not be published. Required fields are marked * #J-18808-Ljbffr

Responsibilities
The USDS-Platform and Community Integrity (PaCI) team is missioned to:
- Protect U.S. TikTok users, including and beyond content consumers, creators, advertisers;
- Secure platform health and community experience authenticity;
- Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders.

The PaCI team works to minimize the damage of inauthentic behaviors on TikTok platforms, covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti-spam, API abuse, growth fraud, live streaming security and financial safety, etc. In this team, you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure, and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolution of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to make quick and solid differences.

In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.

Responsibilities:
- Build machine learning solutions to respond to and mitigate business risks in TikTok products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.
- Improve modeling infrastructures, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational load on risk adversaries and new product/risk ramping-ups.
- Uplevel risk machine learning excellence on privacy/compliance, interpretability, risk perception and analysis.

Qualifications
Minimum Qualifications
- Master or above degree in computer science, statistics, or other relevant, machine-learning-heavy majors.
- Solid engineering skills. Proficiency in at least two of: Linux, Hadoop, Hive, Spark, Storm.
- Strong machine learning background. Proficiency or publications in modern machine learning theories and applications such as deep neural nets, transfer/multi-task learning, reinforcement learning, time series or graph unsupervised learning.
- Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.

About USDS
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.

Data Security Statement
This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.


Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an Always Day 1 mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.


USDS Reasonable Accommodation
USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $137750 - $37500 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Technology, Information and Internet

Referrals increase your chances of interviewing at TikTok by 2x

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